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òH‹„$؋éqüÿÿHƒìHƒÄÃrealout of memoryNULL pointer found%s: sseupd:ncv=%d%s: sseupd:lworkl=%d%s: sseupd:n=%d%s: sseupd:ldv=%d%s: sseupd:ldz=%d%s: dseupd:ncv=%d%s: dseupd:lworkl=%d%s: dseupd:n=%d%s: dseupd:ldv=%d%s: dseupd:ldz=%d%s: sneupd:ncv=%d%s: sneupd:n=%d%s: sneupd:lworkl=%d%s: sneupd:ldv=%d%s: sneupd:ldz=%d%s: dneupd:ncv=%d%s: dneupd:n=%d%s: dneupd:lworkl=%d%s: dneupd:ldv=%d%s: dneupd:ldz=%d%s: cneupd:ncv=%d%s: cneupd:lworkl=%d%s: cneupd:n=%d%s: cneupd:ldv=%d%s: cneupd:ldz=%d%s: zneupd:ncv=%d%s: zneupd:lworkl=%d%s: zneupd:n=%d%s: zneupd:ldv=%d%s: zneupd:ldz=%d%s: dnaupd:ncv=%d%s: dnaupd:n=%d%s: dnaupd:lworkl=%d%s: dnaupd:ldv=%didNNNNi%s: dsaupd:ncv=%d%s: dsaupd:n=%d%s: dsaupd:lworkl=%d%s: dsaupd:ldv=%d%s: snaupd:ncv=%d%s: snaupd:n=%d%s: snaupd:lworkl=%d%s: snaupd:ldv=%difNNNNi%s: ssaupd:ncv=%d%s: ssaupd:n=%d%s: ssaupd:lworkl=%d%s: ssaupd:ldv=%d%s: znaupd:ncv=%d%s: znaupd:n=%d%s: znaupd:lworkl=%d%s: znaupd:ldv=%d%s: cnaupd:ncv=%d%s: cnaupd:n=%d%s: cnaupd:lworkl=%d%s: cnaupd:ldv=%d_arpacknumpy.core.multiarray_ARRAY_API_ARRAY_API not found_ARRAY_API is NULL pointer$Revision: $__version____doc___arpack.errordebugtimingidobmatwhichnevtolresidiparamipntrworkdinfoncvldvlworklhowmnyselectsigmaldzsigmarsigmaiworkevrworkssaupddsaupdsseupddseupdsnaupddnaupdsneupddneupdcnaupdznaupdcneupdzneupdnopxnbxnrorthnitrefnrstrttsaupdtsaup2tsaitrtseigttsgetstsappstsconvtnaupdtnaup2tnaitrtneightngetstnappstnconvtcaupdtcaup2tcaitrtceightcgetstcappstcconvtmvopxtmvbxtgetv0titreftrveclogfilndigitmgetv0msaupdmsaup2msaitrmseigtmsappsmsgetsmseupdmnaupdmnaup2mnaitrmneighmnappsmngetsmneupdmcaupdmcaup2mcaitrmceighmcappsmcgetsmceupdarray object is non-contiguous.OOOOOOOOOOOOOOO|OOOOO:_arpack.sseupdstring_from_pyobj failed in converting 6th argument `which' of _arpack.sseupd to C stringfailed in converting 11st argument `iparam' of _arpack.sseupd to C/Fortran arrayfailed in converting 3rd argument `select' of _arpack.sseupd to C/Fortran array_arpack.sseupd() 15th argument (info) can't be converted to intstring_from_pyobj failed in converting 2nd argument `howmny' of _arpack.sseupd to C stringfailed in converting 14th argument `workl' of _arpack.sseupd to C/Fortran arrayfailed in converting 12nd argument `ipntr' of _arpack.sseupd to C/Fortran arraystring_from_pyobj failed in converting 5th argument `bmat' of _arpack.sseupd to C stringfailed in converting 9th argument `resid' of _arpack.sseupd to C/Fortran array_arpack.sseupd() 8th argument (tol) can't be converted to float_arpack.sseupd() 7th argument (nev) can't be converted to int_arpack.sseupd() 4th argument (sigma) can't be converted to float_arpack.sseupd() 3rd keyword (ncv) can't be converted to int(len(select)>=ncv) failed for 3rd keyword ncv_arpack.sseupd() 5th keyword (lworkl) can't be converted to int(len(workl)>=lworkl) failed for 5th keyword lworklfailed in converting hidden `d' of _arpack.sseupd to C/Fortran array_arpack.sseupd() 2nd keyword (n) can't be converted to int(len(resid)>=n) failed for 2nd keyword nfailed in converting 10th argument `v' of _arpack.sseupd to C/Fortran arrayfailed in converting hidden `z' of _arpack.sseupd to C/Fortran array_arpack.sseupd() 4th keyword (ldv) can't be converted to int(shape(v,0)==ldv) failed for 4th keyword ldv_arpack.sseupd() 1st keyword (ldz) can't be converted to int(shape(z,0)==ldz) failed for 1st keyword ldzfailed in converting 13rd argument `workd' of _arpack.sseupd to C/Fortran arrayOOOOOOOOOOOOOOO|OOOOO:_arpack.dseupdstring_from_pyobj failed in converting 6th argument `which' of _arpack.dseupd to C stringfailed in converting 11st argument `iparam' of _arpack.dseupd to C/Fortran arrayfailed in converting 3rd argument `select' of _arpack.dseupd to C/Fortran array_arpack.dseupd() 15th argument (info) can't be converted to intstring_from_pyobj failed in converting 2nd argument `howmny' of _arpack.dseupd to C stringfailed in converting 14th argument `workl' of _arpack.dseupd to C/Fortran arrayfailed in converting 12nd argument `ipntr' of _arpack.dseupd to C/Fortran arraystring_from_pyobj failed in converting 5th argument `bmat' of _arpack.dseupd to C stringfailed in converting 9th argument `resid' of _arpack.dseupd to C/Fortran array_arpack.dseupd() 8th argument (tol) can't be converted to double_arpack.dseupd() 7th argument (nev) can't be converted to int_arpack.dseupd() 4th argument (sigma) can't be converted to double_arpack.dseupd() 3rd keyword (ncv) can't be converted to int_arpack.dseupd() 5th keyword (lworkl) can't be converted to intfailed in converting hidden `d' of _arpack.dseupd to C/Fortran array_arpack.dseupd() 2nd keyword (n) can't be converted to intfailed in converting 10th argument `v' of _arpack.dseupd to C/Fortran arrayfailed in converting hidden `z' of _arpack.dseupd to C/Fortran array_arpack.dseupd() 4th keyword (ldv) can't be converted to int_arpack.dseupd() 1st keyword (ldz) can't be converted to intfailed in converting 13rd argument `workd' of _arpack.dseupd to C/Fortran arrayOOOOOOOOOOOOOOOOO|OOOOO:_arpack.sneupd_arpack.sneupd() 5th argument (sigmai) can't be converted to floatstring_from_pyobj failed in converting 8th argument `which' of _arpack.sneupd to C stringfailed in converting 13rd argument `iparam' of _arpack.sneupd to C/Fortran arrayfailed in converting 3rd argument `select' of _arpack.sneupd to C/Fortran array_arpack.sneupd() 4th argument (sigmar) can't be converted to float_arpack.sneupd() 17th argument (info) can't be converted to intstring_from_pyobj failed in converting 2nd argument `howmny' of _arpack.sneupd to C stringfailed in converting 16th argument `workl' of _arpack.sneupd to C/Fortran arraystring_from_pyobj failed in converting 7th argument `bmat' of _arpack.sneupd to C stringfailed in converting 11st argument `resid' of _arpack.sneupd to C/Fortran array_arpack.sneupd() 10th argument (tol) can't be converted to float_arpack.sneupd() 9th argument (nev) can't be converted to intfailed in converting 14th argument `ipntr' of _arpack.sneupd to C/Fortran arrayfailed in converting hidden `di' of _arpack.sneupd to C/Fortran arrayfailed in converting hidden `dr' of _arpack.sneupd to C/Fortran array_arpack.sneupd() 3rd keyword (ncv) can't be converted to int_arpack.sneupd() 2nd keyword (n) can't be converted to intfailed in converting 12nd argument `v' of _arpack.sneupd to C/Fortran array_arpack.sneupd() 5th keyword (lworkl) can't be converted to intfailed in converting 6th argument `workev' of _arpack.sneupd to C/Fortran array_arpack.sneupd() 4th keyword (ldv) can't be converted to intfailed in converting hidden `z' of _arpack.sneupd to C/Fortran arrayfailed in converting 15th argument `workd' of _arpack.sneupd to C/Fortran array_arpack.sneupd() 1st keyword (ldz) can't be converted to intOOOOOOOOOOOOOOOOO|OOOOO:_arpack.dneupd_arpack.dneupd() 5th argument (sigmai) can't be converted to doublestring_from_pyobj failed in converting 8th argument `which' of _arpack.dneupd to C stringfailed in converting 13rd argument `iparam' of _arpack.dneupd to C/Fortran arrayfailed in converting 3rd argument `select' of _arpack.dneupd to C/Fortran array_arpack.dneupd() 4th argument (sigmar) can't be converted to double_arpack.dneupd() 17th argument (info) can't be converted to intstring_from_pyobj failed in converting 2nd argument `howmny' of _arpack.dneupd to C stringfailed in converting 16th argument `workl' of _arpack.dneupd to C/Fortran arraystring_from_pyobj failed in converting 7th argument `bmat' of _arpack.dneupd to C stringfailed in converting 11st argument `resid' of _arpack.dneupd to C/Fortran array_arpack.dneupd() 10th argument (tol) can't be converted to double_arpack.dneupd() 9th argument (nev) can't be converted to intfailed in converting 14th argument `ipntr' of _arpack.dneupd to C/Fortran arrayfailed in converting hidden `di' of _arpack.dneupd to C/Fortran arrayfailed in converting hidden `dr' of _arpack.dneupd to C/Fortran array_arpack.dneupd() 3rd keyword (ncv) can't be converted to int_arpack.dneupd() 2nd keyword (n) can't be converted to intfailed in converting 12nd argument `v' of _arpack.dneupd to C/Fortran array_arpack.dneupd() 5th keyword (lworkl) can't be converted to intfailed in converting 6th argument `workev' of _arpack.dneupd to C/Fortran array_arpack.dneupd() 4th keyword (ldv) can't be converted to intfailed in converting hidden `z' of _arpack.dneupd to C/Fortran arrayfailed in converting 15th argument `workd' of _arpack.dneupd to C/Fortran array_arpack.dneupd() 1st keyword (ldz) can't be converted to intOOOOOOOOOOOOOOOOO|OOOOO:_arpack.cneupdstring_from_pyobj failed in converting 7th argument `which' of _arpack.cneupd to C stringfailed in converting 12nd argument `iparam' of _arpack.cneupd to C/Fortran arrayfailed in converting 3rd argument `select' of _arpack.cneupd to C/Fortran array_arpack.cneupd() 17th argument (info) can't be converted to intstring_from_pyobj failed in converting 2nd argument `howmny' of _arpack.cneupd to C stringfailed in converting 15th argument `workl' of _arpack.cneupd to C/Fortran arrayfailed in converting 13rd argument `ipntr' of _arpack.cneupd to C/Fortran arraystring_from_pyobj failed in converting 6th argument `bmat' of _arpack.cneupd to C stringfailed in converting 10th argument `resid' of _arpack.cneupd to C/Fortran array_arpack.cneupd() 9th argument (tol) can't be converted to float_arpack.cneupd() 8th argument (nev) can't be converted to int_arpack.cneupd() 4th argument (sigma) can't be converted to complex_float_arpack.cneupd() 3rd keyword (ncv) can't be converted to intfailed in converting 5th argument `workev' of _arpack.cneupd to C/Fortran array_arpack.cneupd() 5th keyword (lworkl) can't be converted to intfailed in converting hidden `d' of _arpack.cneupd to C/Fortran arrayfailed in converting 16th argument `rwork' of _arpack.cneupd to C/Fortran array_arpack.cneupd() 2nd keyword (n) can't be converted to intfailed in converting 11st argument `v' of _arpack.cneupd to C/Fortran arrayfailed in converting hidden `z' of _arpack.cneupd to C/Fortran arrayfailed in converting 14th argument `workd' of _arpack.cneupd to C/Fortran array_arpack.cneupd() 4th keyword (ldv) can't be converted to int_arpack.cneupd() 1st keyword (ldz) can't be converted to intOOOOOOOOOOOOOOOOO|OOOOO:_arpack.zneupdstring_from_pyobj failed in converting 7th argument `which' of _arpack.zneupd to C stringfailed in converting 12nd argument `iparam' of _arpack.zneupd to C/Fortran arrayfailed in converting 3rd argument `select' of _arpack.zneupd to C/Fortran array_arpack.zneupd() 17th argument (info) can't be converted to intstring_from_pyobj failed in converting 2nd argument `howmny' of _arpack.zneupd to C stringfailed in converting 15th argument `workl' of _arpack.zneupd to C/Fortran arrayfailed in converting 13rd argument `ipntr' of _arpack.zneupd to C/Fortran arraystring_from_pyobj failed in converting 6th argument `bmat' of _arpack.zneupd to C stringfailed in converting 10th argument `resid' of _arpack.zneupd to C/Fortran array_arpack.zneupd() 9th argument (tol) can't be converted to double_arpack.zneupd() 8th argument (nev) can't be converted to int_arpack.zneupd() 4th argument (sigma) can't be converted to complex_double_arpack.zneupd() 3rd keyword (ncv) can't be converted to intfailed in converting 5th argument `workev' of _arpack.zneupd to C/Fortran array_arpack.zneupd() 5th keyword (lworkl) can't be converted to intfailed in converting hidden `d' of _arpack.zneupd to C/Fortran arrayfailed in converting 16th argument `rwork' of _arpack.zneupd to C/Fortran array_arpack.zneupd() 2nd keyword (n) can't be converted to intfailed in converting 11st argument `v' of _arpack.zneupd to C/Fortran arrayfailed in converting hidden `z' of _arpack.zneupd to C/Fortran arrayfailed in converting 14th argument `workd' of _arpack.zneupd to C/Fortran array_arpack.zneupd() 4th keyword (ldv) can't be converted to int_arpack.zneupd() 1st keyword (ldz) can't be converted to intOOOOOOOOOOOO|OOOO:_arpack.dnaupd_arpack.dnaupd() 5th argument (tol) can't be converted to doublefailed in converting 8th argument `iparam' of _arpack.dnaupd to C/Fortran arrayfailed in converting 11st argument `workl' of _arpack.dnaupd to C/Fortran array_arpack.dnaupd() 12nd argument (info) can't be converted to intfailed in converting 6th argument `resid' of _arpack.dnaupd to C/Fortran arraystring_from_pyobj failed in converting 2nd argument `bmat' of _arpack.dnaupd to C string_arpack.dnaupd() 1st argument (ido) can't be converted to intstring_from_pyobj failed in converting 3rd argument `which' of _arpack.dnaupd to C stringfailed in converting 7th argument `v' of _arpack.dnaupd to C/Fortran array_arpack.dnaupd() 4th argument (nev) can't be converted to intfailed in converting 9th argument `ipntr' of _arpack.dnaupd to C/Fortran array_arpack.dnaupd() 2nd keyword (ncv) can't be converted to int(shape(v,1)==ncv) failed for 2nd keyword ncv_arpack.dnaupd() 1st keyword (n) can't be converted to int(len(resid)>=n) failed for 1st keyword n_arpack.dnaupd() 4th keyword (lworkl) can't be converted to int(len(workl)>=lworkl) failed for 4th keyword lworkl_arpack.dnaupd() 3rd keyword (ldv) can't be converted to int(shape(v,0)==ldv) failed for 3rd keyword ldvfailed in converting 10th argument `workd' of _arpack.dnaupd to C/Fortran arrayOOOOOOOOOOOO|OOOO:_arpack.dsaupd_arpack.dsaupd() 5th argument (tol) can't be converted to doublefailed in converting 8th argument `iparam' of _arpack.dsaupd to C/Fortran arrayfailed in converting 11st argument `workl' of _arpack.dsaupd to C/Fortran array_arpack.dsaupd() 12nd argument (info) can't be converted to intfailed in converting 6th argument `resid' of _arpack.dsaupd to C/Fortran arraystring_from_pyobj failed in converting 2nd argument `bmat' of _arpack.dsaupd to C string_arpack.dsaupd() 1st argument (ido) can't be converted to intstring_from_pyobj failed in converting 3rd argument `which' of _arpack.dsaupd to C stringfailed in converting 7th argument `v' of _arpack.dsaupd to C/Fortran array_arpack.dsaupd() 4th argument (nev) can't be converted to intfailed in converting 9th argument `ipntr' of _arpack.dsaupd to C/Fortran array_arpack.dsaupd() 2nd keyword (ncv) can't be converted to int_arpack.dsaupd() 1st keyword (n) can't be converted to int_arpack.dsaupd() 4th keyword (lworkl) can't be converted to int_arpack.dsaupd() 3rd keyword (ldv) can't be converted to intfailed in converting 10th argument `workd' of _arpack.dsaupd to C/Fortran arrayOOOOOOOOOOOO|OOOO:_arpack.snaupd_arpack.snaupd() 5th argument (tol) can't be converted to floatfailed in converting 8th argument `iparam' of _arpack.snaupd to C/Fortran arrayfailed in converting 11st argument `workl' of _arpack.snaupd to C/Fortran array_arpack.snaupd() 12nd argument (info) can't be converted to intfailed in converting 6th argument `resid' of _arpack.snaupd to C/Fortran arraystring_from_pyobj failed in converting 2nd argument `bmat' of _arpack.snaupd to C string_arpack.snaupd() 1st argument (ido) can't be converted to intstring_from_pyobj failed in converting 3rd argument `which' of _arpack.snaupd to C stringfailed in converting 7th argument `v' of _arpack.snaupd to C/Fortran array_arpack.snaupd() 4th argument (nev) can't be converted to intfailed in converting 9th argument `ipntr' of _arpack.snaupd to C/Fortran array_arpack.snaupd() 2nd keyword (ncv) can't be converted to int_arpack.snaupd() 1st keyword (n) can't be converted to int_arpack.snaupd() 4th keyword (lworkl) can't be converted to int_arpack.snaupd() 3rd keyword (ldv) can't be converted to intfailed in converting 10th argument `workd' of _arpack.snaupd to C/Fortran arrayOOOOOOOOOOOO|OOOO:_arpack.ssaupd_arpack.ssaupd() 5th argument (tol) can't be converted to floatfailed in converting 8th argument `iparam' of _arpack.ssaupd to C/Fortran arrayfailed in converting 11st argument `workl' of _arpack.ssaupd to C/Fortran array_arpack.ssaupd() 12nd argument (info) can't be converted to intfailed in converting 6th argument `resid' of _arpack.ssaupd to C/Fortran arraystring_from_pyobj failed in converting 2nd argument `bmat' of _arpack.ssaupd to C string_arpack.ssaupd() 1st argument (ido) can't be converted to intstring_from_pyobj failed in converting 3rd argument `which' of _arpack.ssaupd to C stringfailed in converting 7th argument `v' of _arpack.ssaupd to C/Fortran array_arpack.ssaupd() 4th argument (nev) can't be converted to intfailed in converting 9th argument `ipntr' of _arpack.ssaupd to C/Fortran array_arpack.ssaupd() 2nd keyword (ncv) can't be converted to int_arpack.ssaupd() 1st keyword (n) can't be converted to int_arpack.ssaupd() 4th keyword (lworkl) can't be converted to int_arpack.ssaupd() 3rd keyword (ldv) can't be converted to intfailed in converting 10th argument `workd' of _arpack.ssaupd to C/Fortran arrayOOOOOOOOOOOOO|OOOO:_arpack.znaupd_arpack.znaupd() 5th argument (tol) can't be converted to doublefailed in converting 8th argument `iparam' of _arpack.znaupd to C/Fortran arrayfailed in converting 11st argument `workl' of _arpack.znaupd to C/Fortran array_arpack.znaupd() 13rd argument (info) can't be converted to intfailed in converting 6th argument `resid' of _arpack.znaupd to C/Fortran arraystring_from_pyobj failed in converting 2nd argument `bmat' of _arpack.znaupd to C string_arpack.znaupd() 1st argument (ido) can't be converted to intstring_from_pyobj failed in converting 3rd argument `which' of _arpack.znaupd to C stringfailed in converting 7th argument `v' of _arpack.znaupd to C/Fortran array_arpack.znaupd() 4th argument (nev) can't be converted to intfailed in converting 9th argument `ipntr' of _arpack.znaupd to C/Fortran array_arpack.znaupd() 2nd keyword (ncv) can't be converted to intfailed in converting 12nd argument `rwork' of _arpack.znaupd to C/Fortran array_arpack.znaupd() 1st keyword (n) can't be converted to int_arpack.znaupd() 4th keyword (lworkl) can't be converted to int_arpack.znaupd() 3rd keyword (ldv) can't be converted to intfailed in converting 10th argument `workd' of _arpack.znaupd to C/Fortran arrayOOOOOOOOOOOOO|OOOO:_arpack.cnaupd_arpack.cnaupd() 5th argument (tol) can't be converted to floatfailed in converting 8th argument `iparam' of _arpack.cnaupd to C/Fortran arrayfailed in converting 11st argument `workl' of _arpack.cnaupd to C/Fortran array_arpack.cnaupd() 13rd argument (info) can't be converted to intfailed in converting 6th argument `resid' of _arpack.cnaupd to C/Fortran arraystring_from_pyobj failed in converting 2nd argument `bmat' of _arpack.cnaupd to C string_arpack.cnaupd() 1st argument (ido) can't be converted to intstring_from_pyobj failed in converting 3rd argument `which' of _arpack.cnaupd to C stringfailed in converting 7th argument `v' of _arpack.cnaupd to C/Fortran array_arpack.cnaupd() 4th argument (nev) can't be converted to intfailed in converting 9th argument `ipntr' of _arpack.cnaupd to C/Fortran array_arpack.cnaupd() 2nd keyword (ncv) can't be converted to intfailed in converting 12nd argument `rwork' of _arpack.cnaupd to C/Fortran array_arpack.cnaupd() 1st keyword (n) can't be converted to int_arpack.cnaupd() 4th keyword (lworkl) can't be converted to int_arpack.cnaupd() 3rd keyword (ldv) can't be converted to intfailed in converting 10th argument `workd' of _arpack.cnaupd to C/Fortran arraynumpy.core.multiarray failed to import_ARRAY_API is not PyCObject objectmodule compiled against ABI version %x but this version of numpy is %xmodule compiled against API version %x but this version of numpy is %xFATAL: module compiled as unknown endianFATAL: module compiled as little endian, but detected different endianness at runtimecan't initialize module _arpack (failed to import numpy)This module '_arpack' is auto-generated with f2py (version:2).
Functions:
  ido,tol,resid,v,iparam,ipntr,info = ssaupd(ido,bmat,which,nev,tol,resid,v,iparam,ipntr,workd,workl,info,n=len(resid),ncv=shape(v,1),ldv=shape(v,0),lworkl=len(workl))
  ido,tol,resid,v,iparam,ipntr,info = dsaupd(ido,bmat,which,nev,tol,resid,v,iparam,ipntr,workd,workl,info,n=len(resid),ncv=shape(v,1),ldv=shape(v,0),lworkl=len(workl))
  d,z,info = sseupd(rvec,howmny,select,sigma,bmat,which,nev,tol,resid,v,iparam,ipntr,workd,workl,info,ldz=shape(z,0),n=len(resid),ncv=len(select),ldv=shape(v,0),lworkl=len(workl))
  d,z,info = dseupd(rvec,howmny,select,sigma,bmat,which,nev,tol,resid,v,iparam,ipntr,workd,workl,info,ldz=shape(z,0),n=len(resid),ncv=len(select),ldv=shape(v,0),lworkl=len(workl))
  ido,tol,resid,v,iparam,ipntr,info = snaupd(ido,bmat,which,nev,tol,resid,v,iparam,ipntr,workd,workl,info,n=len(resid),ncv=shape(v,1),ldv=shape(v,0),lworkl=len(workl))
  ido,tol,resid,v,iparam,ipntr,info = dnaupd(ido,bmat,which,nev,tol,resid,v,iparam,ipntr,workd,workl,info,n=len(resid),ncv=shape(v,1),ldv=shape(v,0),lworkl=len(workl))
  dr,di,z,info = sneupd(rvec,howmny,select,sigmar,sigmai,workev,bmat,which,nev,tol,resid,v,iparam,ipntr,workd,workl,info,ldz=shape(z,0),n=len(resid),ncv=len(select),ldv=shape(v,0),lworkl=len(workl))
  dr,di,z,info = dneupd(rvec,howmny,select,sigmar,sigmai,workev,bmat,which,nev,tol,resid,v,iparam,ipntr,workd,workl,info,ldz=shape(z,0),n=len(resid),ncv=len(select),ldv=shape(v,0),lworkl=len(workl))
  ido,tol,resid,v,iparam,ipntr,info = cnaupd(ido,bmat,which,nev,tol,resid,v,iparam,ipntr,workd,workl,rwork,info,n=len(resid),ncv=shape(v,1),ldv=shape(v,0),lworkl=len(workl))
  ido,tol,resid,v,iparam,ipntr,info = znaupd(ido,bmat,which,nev,tol,resid,v,iparam,ipntr,workd,workl,rwork,info,n=len(resid),ncv=shape(v,1),ldv=shape(v,0),lworkl=len(workl))
  d,z,info = cneupd(rvec,howmny,select,sigma,workev,bmat,which,nev,tol,resid,v,iparam,ipntr,workd,workl,rwork,info,ldz=shape(z,0),n=len(resid),ncv=len(select),ldv=shape(v,0),lworkl=len(workl))
  d,z,info = zneupd(rvec,howmny,select,sigma,workev,bmat,which,nev,tol,resid,v,iparam,ipntr,workd,workl,rwork,info,ldz=shape(z,0),n=len(resid),ncv=len(select),ldv=shape(v,0),lworkl=len(workl))
COMMON blocks:
  /debug/ logfil,ndigit,mgetv0,msaupd,msaup2,msaitr,mseigt,msapps,msgets,mseupd,mnaupd,mnaup2,mnaitr,mneigh,mnapps,mngets,mneupd,mcaupd,mcaup2,mcaitr,mceigh,mcapps,mcgets,mceupd
  /timing/ nopx,nbx,nrorth,nitref,nrstrt,tsaupd,tsaup2,tsaitr,tseigt,tsgets,tsapps,tsconv,tnaupd,tnaup2,tnaitr,tneigh,tngets,tnapps,tnconv,tcaupd,tcaup2,tcaitr,tceigh,tcgets,tcapps,tcconv,tmvopx,tmvbx,tgetv0,titref,trvec
.%d-th dimension must be fixed to %ld but got %ld
%d-th dimension must be %ld but got 0 (not defined).
unexpected array size: new_size=%ld, got array with arr_size=%ld (maybe too many free indices)
unexpected array size: new_size=%ld, got array with arr_size=%ld
too many axes: %d (effrank=%d), expected rank=%d
%d-th dimension must be fixed to %ld but got %ld (real index=%d)
unexpected array size: size=%ld, arr_size=%ld, rank=%d, effrank=%d, arr.nd=%d, dims=[this fortran object is not callable -- input must be in one segment -- expected at least elsize=%d but got %ld -- expected elsize=%d but got %ld -- input '%c' not compatible to '%c'failed to initialize intent(inout|inplace|cache) array, input not an arraydelete non-existing fortran attributefortranobject.c: fortran_doc: len(p)=%zd>%zd=size: too long docstring required, increase size
 ], arr.dims=[ %ld ]
__name__<fortran %s><fortran object>no function to callError loading %s
)%ld, -- input not %d-alignedover-writing fortran routine__dict__%s - no docs available'%c'-array(%ld,%ld_cpointerfortran

LMSMLRSRLISIEpsMach_naupd: Number of update iterations taken
_naupd: Number of wanted "converged" Ritz values_naupd: The final Ritz values_naupd: Associated Ritz estimates(//,                                                          5x, '=============================================',/             5x, '= Complex implicit Arnoldi update code      =',/             5x, '= Version Number: ', ' 2.3' , 21x, ' =',/                    5x, '= Version Date:   ', ' 07/31/96' , 16x,   ' =',/             5x, '=============================================',/             5x, '= Summary of timing statistics              =',/             5x, '=============================================',//)(                                                             5x, 'Total number update iterations             = ', i5,/         5x, 'Total number of OP*x operations            = ', i5,/         5x, 'Total number of B*x operations             = ', i5,/         5x, 'Total number of reorthogonalization steps  = ', i5,/         5x, 'Total number of iterative refinement steps = ', i5,/         5x, 'Total number of restart steps              = ', i5,/         5x, 'Total time in user OP*x operation          = ', f12.6,/      5x, 'Total time in user B*x operation           = ', f12.6,/      5x, 'Total time in Arnoldi update routine       = ', f12.6,/      5x, 'Total time in naup2 routine                = ', f12.6,/      5x, 'Total time in basic Arnoldi iteration loop = ', f12.6,/      5x, 'Total time in reorthogonalization phase    = ', f12.6,/      5x, 'Total time in (re)start vector generation  = ', f12.6,/      5x, 'Total time in Hessenberg eig. subproblem   = ', f12.6,/      5x, 'Total time in getting the shifts           = ', f12.6,/      5x, 'Total time in applying the shifts          = ', f12.6,/      5x, 'Total time in convergence testing          = ', f12.6,/      5x, 'Total time in computing final Ritz vectors = ', f12.6/)scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/cnaupd.fEpsilon-Machine
_naup2: **** Start of major iteration number ****_naup2: The length of the current Arnoldi factorization_naup2: Extend the Arnoldi factorization by_naup2: Corresponding B-norm of the residual_naup2: NEV, NP, NCONV are_naup2: The eigenvalues of H_naup2: Ritz estimates of the current NCV Ritz values_naup2: Eigenvalues computed by _neigh:_naup2: Ritz estimates computed by _neigh:LMSMLRSRLISI
_naup2: Sorted eigenvalues_naup2: Sorted ritz estimates._naup2: no. of "converged" Ritz values at this iter._naup2: NEV and NP are_naup2: "wanted" Ritz values _naup2: Ritz estimates of the "wanted" values _naup2: The number of shifts to apply _naup2: values of the shifts_naup2: Ritz estimates of the shifts_naup2: B-norm of residual for compressed factorization_naup2: Compressed upper Hessenberg matrix Hǻ*?safe minimumprecision_naitr: generating Arnoldi vector number
_naitr: B-norm of the current residual is_naitr: ****** RESTART AT STEP ******€?General€?C€¿€N_naitr: re-orthogonalization; wnorm and rnorm are_naitr: j-th column of H_naitr: Iterative refinement for Arnoldi residual_naitr: iterative refinement ; rnorm and rnorm1 are1_naitr: Final upper Hessenberg matrix H of order K+NP€?P7?LMSMLASABEEpsMach_saupd: number of update iterations taken
_saupd: number of "converged" Ritz values_saupd: final Ritz values_saupd: corresponding error bounds(//,                                                          5x, '==========================================',/                5x, '= Symmetric implicit Arnoldi update code =',/                5x, '= Version Number:', ' 2.4' , 19x, ' =',/                     5x, '= Version Date:  ', ' 07/31/96' , 14x, ' =',/                5x, '==========================================',/                5x, '= Summary of timing statistics           =',/                5x, '==========================================',//)(                                                             5x, 'Total number update iterations             = ', i5,/         5x, 'Total number of OP*x operations            = ', i5,/         5x, 'Total number of B*x operations             = ', i5,/         5x, 'Total number of reorthogonalization steps  = ', i5,/         5x, 'Total number of iterative refinement steps = ', i5,/         5x, 'Total number of restart steps              = ', i5,/         5x, 'Total time in user OP*x operation          = ', f12.6,/      5x, 'Total time in user B*x operation           = ', f12.6,/      5x, 'Total time in Arnoldi update routine       = ', f12.6,/      5x, 'Total time in saup2 routine                = ', f12.6,/      5x, 'Total time in basic Arnoldi iteration loop = ', f12.6,/      5x, 'Total time in reorthogonalization phase    = ', f12.6,/      5x, 'Total time in (re)start vector generation  = ', f12.6,/      5x, 'Total time in trid eigenvalue subproblem   = ', f12.6,/      5x, 'Total time in getting the shifts           = ', f12.6,/      5x, 'Total time in applying the shifts          = ', f12.6,/      5x, 'Total time in convergence testing          = ', f12.6)scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/ssaupd.fLMSMLASABEEpsilon-Machine
_seupd: Ritz values passed in from _SAUPD._seupd: Ritz estimates passed in from _SAUPD._seupd: Ritz values after calling _SGETS._seupd: Ritz value indices after calling _SGETS._seupd: Number of specified eigenvalues_seupd: Number of "converged" eigenvaluesIdentity_seupd: NCV Ritz values of the final H matrix_seupd: last row of the eigenvector matrix for H_seupd: The eigenvalues of H--reorderedREGULRSHIFTI
BUCKLECAYLEYNotransposeRightAllTransposeLeft_seupd: Untransformed converged Ritz values_seupd: Ritz estimates of the untransformed Ritz values_seupd: Converged Ritz values_seupd: Associated Ritz estimates€?ÿÿÿEpsilon-MachineLMSMLRSRLISI_neupd: Real part of Ritz values passed in from _NAUPD._neupd: Imag part of Ritz values passed in from _NAUPD._neupd: Ritz estimates passed in from _NAUPD._neupd: Real part of Ritz values after calling _NGETS._neupd: Imag part of Ritz values after calling _NGETS._neupd: Ritz value indices after calling _NGETS._neupd: Number of specified eigenvalues
_neupd: Number of "converged" eigenvaluesð?All
_neupd: Real part of the eigenvalues of H_neupd: Imaginary part of the Eigenvalues of H_neupd: Last row of the Schur vector matrix_neupd: The upper quasi-triangular matrix VNone_neupd: Real part of the eigenvalues of H--reordered_neupd: Imag part of the eigenvalues of H--reordered_neupd: Quasi-triangular matrix after re-orderingREGULRNotransposeRightð¿SelectT_neupd: Last row of the eigenvector matrix for T_neupd: The eigenvector matrix for TNon-unitNo transposeUpperSHIFTIREALPTIMAGPT_neupd: Untransformed real part of the Ritz valuess._neupd: Untransformed imag part of the Ritz valuess._neupd: Ritz estimates of untransformed Ritz values._neupd: Real parts of converged Ritz values._neupd: Imag parts of converged Ritz values._neupd: Associated Ritz estimates.UUUUUUå?ð?ÿÿÿÿÿÿÿLMSMLASABEEpsMach_saupd: number of update iterations taken
_saupd: number of "converged" Ritz values_saupd: final Ritz values_saupd: corresponding error bounds(//,                                                          5x, '==========================================',/                5x, '= Symmetric implicit Arnoldi update code =',/                5x, '= Version Number:', ' 2.4' , 19x, ' =',/                     5x, '= Version Date:  ', ' 07/31/96' , 14x, ' =',/                5x, '==========================================',/                5x, '= Summary of timing statistics           =',/                5x, '==========================================',//)(                                                             5x, 'Total number update iterations             = ', i5,/         5x, 'Total number of OP*x operations            = ', i5,/         5x, 'Total number of B*x operations             = ', i5,/         5x, 'Total number of reorthogonalization steps  = ', i5,/         5x, 'Total number of iterative refinement steps = ', i5,/         5x, 'Total number of restart steps              = ', i5,/         5x, 'Total time in user OP*x operation          = ', f12.6,/      5x, 'Total time in user B*x operation           = ', f12.6,/      5x, 'Total time in Arnoldi update routine       = ', f12.6,/      5x, 'Total time in saup2 routine                = ', f12.6,/      5x, 'Total time in basic Arnoldi iteration loop = ', f12.6,/      5x, 'Total time in reorthogonalization phase    = ', f12.6,/      5x, 'Total time in (re)start vector generation  = ', f12.6,/      5x, 'Total time in trid eigenvalue subproblem   = ', f12.6,/      5x, 'Total time in getting the shifts           = ', f12.6,/      5x, 'Total time in applying the shifts          = ', f12.6,/      5x, 'Total time in convergence testing          = ', f12.6)scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dsaupd.fSASMLALMLMSMLRSRLISIEpsMach_naupd: Number of update iterations taken
_naupd: Number of wanted "converged" Ritz values_naupd: The final Ritz values_naupd: Associated Ritz estimates(//,                                                          5x, '=============================================',/             5x, '= Complex implicit Arnoldi update code      =',/             5x, '= Version Number: ', ' 2.3' , 21x, ' =',/                    5x, '= Version Date:   ', ' 07/31/96' , 16x,   ' =',/             5x, '=============================================',/             5x, '= Summary of timing statistics              =',/             5x, '=============================================',//)(                                                             5x, 'Total number update iterations             = ', i5,/         5x, 'Total number of OP*x operations            = ', i5,/         5x, 'Total number of B*x operations             = ', i5,/         5x, 'Total number of reorthogonalization steps  = ', i5,/         5x, 'Total number of iterative refinement steps = ', i5,/         5x, 'Total number of restart steps              = ', i5,/         5x, 'Total time in user OP*x operation          = ', f12.6,/      5x, 'Total time in user B*x operation           = ', f12.6,/      5x, 'Total time in Arnoldi update routine       = ', f12.6,/      5x, 'Total time in naup2 routine                = ', f12.6,/      5x, 'Total time in basic Arnoldi iteration loop = ', f12.6,/      5x, 'Total time in reorthogonalization phase    = ', f12.6,/      5x, 'Total time in (re)start vector generation  = ', f12.6,/      5x, 'Total time in Hessenberg eig. subproblem   = ', f12.6,/      5x, 'Total time in getting the shifts           = ', f12.6,/      5x, 'Total time in applying the shifts          = ', f12.6,/      5x, 'Total time in convergence testing          = ', f12.6,/      5x, 'Total time in computing final Ritz vectors = ', f12.6/)scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/znaupd.fEpsilon-MachineLMSMLRSRLISI_neupd: Ritz values passed in from _NAUPD._neupd: Ritz estimates passed in from _NAUPD._neupd: Ritz values after calling _NGETS._neupd: Ritz value indices after calling _NGETS._neupd: Number of specified eigenvalues
_neupd: Number of "converged" eigenvaluesð?All
_neupd: Eigenvalues of H_neupd: Last row of the Schur vector matrix_neupd: The upper triangular matrix VNone_neupd: Eigenvalues of H--reordered_neupd: Triangular matrix after re-orderingREGULRNotransposeRightð¿€Select_neupd: Last row of the eigenvector matrix for T_neupd: The eigenvector matrix for TNon-unitNo transposeUpperSHIFTI_neupd: Untransformed Ritz values._neupd: Ritz estimates of the untransformed Ritz values._neupd: Converged Ritz values._neupd: Associated Ritz estimates.Epsilon-Machine
_saup2: **** Start of major iteration number ****_saup2: The length of the current Lanczos factorization_saup2: Extend the Lanczos factorization by_saup2: Current B-norm of residual for factorization_saup2: NEV, NP, NCONV are_saup2: The eigenvalues of H_saup2: Ritz estimates of the current NCV Ritz valuesBE
LMSMLASA_saup2: Sorted Ritz values._saup2: Sorted ritz estimates._saup2: no. of "converged" Ritz values at this iter._saup2: NEV and NP are_saup2: "wanted" Ritz values._saup2: Ritz estimates of the "wanted" values _saup2: The number of shifts to apply _saup2: shifts selected_saup2: corresponding Ritz estimates_saup2: B-norm of residual for NEV factorization_saup2: main diagonal of compressed H matrix_saup2: subdiagonal of compressed H matrixEpsilon-Machine
_naup2: **** Start of major iteration number ****_naup2: The length of the current Arnoldi factorization_naup2: Extend the Arnoldi factorization by_naup2: Corresponding B-norm of the residual_naup2: NEV, NP, NCONV are_naup2: The eigenvalues of H_naup2: Ritz estimates of the current NCV Ritz values_naup2: Eigenvalues computed by _neigh:_naup2: Ritz estimates computed by _neigh:LMSMLRSRLISI
_naup2: Sorted eigenvalues_naup2: Sorted ritz estimates._naup2: no. of "converged" Ritz values at this iter._naup2: NEV and NP are_naup2: "wanted" Ritz values _naup2: Ritz estimates of the "wanted" values _naup2: The number of shifts to apply _naup2: values of the shifts_naup2: Ritz estimates of the shifts_naup2: B-norm of residual for compressed factorization_naup2: Compressed upper Hessenberg matrix Hsafe minimumprecision_naitr: generating Arnoldi vector number
_naitr: B-norm of the current residual is_naitr: ****** RESTART AT STEP ******ð?Generalð?Cð¿€N_naitr: re-orthogonalization; wnorm and rnorm are_naitr: j-th column of H_naitr: Iterative refinement for Arnoldi residual_naitr: iterative refinement ; rnorm and rnorm1 are1_naitr: Final upper Hessenberg matrix H of order K+NPªñæ?Epsilon-Machineð?All_sapps: deflation at row/column no.
_sapps: occured before shift number._sapps: the corresponding off diagonal elementð¿N_sapps: sigmak of the updated residual vector_sapps: betak of the updated residual vector_sapps: updated main diagonal of H for next iteration_sapps: updated sub diagonal of H for next iteration€
€?C€¿€N_getv0: re-orthonalization ; rnorm0 is_getv0: re-orthonalization ; rnorm is_getv0: B-norm of initial / restarted starting vector_getv0: initial / restarted starting vector
SM_ngets: KEV is
_ngets: NP is_ngets: Eigenvalues of current H matrix _ngets: Ritz estimates of the current KEV+NP Ritz valuesBE
LA
SM_sgets: KEV is_sgets: NP is_sgets: Eigenvalues of current H matrix_sgets: Associated Ritz estimates
ð?Tð¿N_getv0: re-orthonalization ; rnorm0 is_getv0: re-orthonalization ; rnorm is_getv0: B-norm of initial / restarted starting vector_getv0: initial / restarted starting vectorLMSMLRSRLISIEpsMach_naupd: Number of update iterations taken
_naupd: Number of wanted "converged" Ritz values_naupd: Real part of the final Ritz values_naupd: Imaginary part of the final Ritz values_naupd: Associated Ritz estimates(//,                                                          5x, '=============================================',/             5x, '= Nonsymmetric implicit Arnoldi update code =',/             5x, '= Version Number: ', ' 2.4' , 21x, ' =',/                    5x, '= Version Date:   ', ' 07/31/96' , 16x,   ' =',/             5x, '=============================================',/             5x, '= Summary of timing statistics              =',/             5x, '=============================================',//)(                                                             5x, 'Total number update iterations             = ', i5,/         5x, 'Total number of OP*x operations            = ', i5,/         5x, 'Total number of B*x operations             = ', i5,/         5x, 'Total number of reorthogonalization steps  = ', i5,/         5x, 'Total number of iterative refinement steps = ', i5,/         5x, 'Total number of restart steps              = ', i5,/         5x, 'Total time in user OP*x operation          = ', f12.6,/      5x, 'Total time in user B*x operation           = ', f12.6,/      5x, 'Total time in Arnoldi update routine       = ', f12.6,/      5x, 'Total time in naup2 routine                = ', f12.6,/      5x, 'Total time in basic Arnoldi iteration loop = ', f12.6,/      5x, 'Total time in reorthogonalization phase    = ', f12.6,/      5x, 'Total time in (re)start vector generation  = ', f12.6,/      5x, 'Total time in Hessenberg eig. subproblem   = ', f12.6,/      5x, 'Total time in getting the shifts           = ', f12.6,/      5x, 'Total time in applying the shifts          = ', f12.6,/      5x, 'Total time in convergence testing          = ', f12.6,/      5x, 'Total time in computing final Ritz vectors = ', f12.6/)scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dnaupd.fLMSMLRSRLISIEpsMach_naupd: Number of update iterations taken
_naupd: Number of wanted "converged" Ritz values_naupd: Real part of the final Ritz values_naupd: Imaginary part of the final Ritz values_naupd: Associated Ritz estimates(//,                                                          5x, '=============================================',/             5x, '= Nonsymmetric implicit Arnoldi update code =',/             5x, '= Version Number: ', ' 2.4' , 21x, ' =',/                    5x, '= Version Date:   ', ' 07/31/96' , 16x,   ' =',/             5x, '=============================================',/             5x, '= Summary of timing statistics              =',/             5x, '=============================================',//)(                                                             5x, 'Total number update iterations             = ', i5,/         5x, 'Total number of OP*x operations            = ', i5,/         5x, 'Total number of B*x operations             = ', i5,/         5x, 'Total number of reorthogonalization steps  = ', i5,/         5x, 'Total number of iterative refinement steps = ', i5,/         5x, 'Total number of restart steps              = ', i5,/         5x, 'Total time in user OP*x operation          = ', f12.6,/      5x, 'Total time in user B*x operation           = ', f12.6,/      5x, 'Total time in Arnoldi update routine       = ', f12.6,/      5x, 'Total time in naup2 routine                = ', f12.6,/      5x, 'Total time in basic Arnoldi iteration loop = ', f12.6,/      5x, 'Total time in reorthogonalization phase    = ', f12.6,/      5x, 'Total time in (re)start vector generation  = ', f12.6,/      5x, 'Total time in Hessenberg eig. subproblem   = ', f12.6,/      5x, 'Total time in getting the shifts           = ', f12.6,/      5x, 'Total time in applying the shifts          = ', f12.6,/      5x, 'Total time in convergence testing          = ', f12.6,/      5x, 'Total time in computing final Ritz vectors = ', f12.6/)scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/snaupd.fLMSMLRSRLISIEpsilon-MachineLMSMLRSRLISI_neupd: Real part of Ritz values passed in from _NAUPD._neupd: Imag part of Ritz values passed in from _NAUPD._neupd: Ritz estimates passed in from _NAUPD._neupd: Real part of Ritz values after calling _NGETS._neupd: Imag part of Ritz values after calling _NGETS._neupd: Ritz value indices after calling _NGETS._neupd: Number of specified eigenvalues
_neupd: Number of "converged" eigenvalues€?All
_neupd: Real part of the eigenvalues of H_neupd: Imaginary part of the Eigenvalues of H_neupd: Last row of the Schur vector matrix_neupd: The upper quasi-triangular matrix VNone_neupd: Real part of the eigenvalues of H--reordered_neupd: Imag part of the eigenvalues of H--reordered_neupd: Quasi-triangular matrix after re-orderingREGULRNotransposeRight€¿SelectT_neupd: Last row of the eigenvector matrix for T_neupd: The eigenvector matrix for TNon-unitNo transposeUpperSHIFTIREALPTIMAGPT_neupd: Untransformed real part of the Ritz valuess._neupd: Untransformed imag part of the Ritz valuess._neupd: Ritz estimates of untransformed Ritz values._neupd: Real parts of converged Ritz values._neupd: Imag parts of converged Ritz values._neupd: Associated Ritz estimates.safe minimumprecision€?All_napps: shift number.
_napps: Value of the shift 1_napps: matrix splitting at row/column no._napps: matrix splitting with shift number._napps: off diagonal element._napps: Start of current block _napps: End of current block NA_napps: sigmak = (e_{kev+p}^T*Q)*e_{kev}_napps: betak = e_{kev+1}^T*H*e_{kev}_napps: Order of the final Hessenberg matrix _napps: updated Hessenberg matrix H for next iteration€Epsilon-Machine
_naup2: **** Start of major iteration number ****_naup2: The length of the current Arnoldi factorization_naup2: Extend the Arnoldi factorization by_naup2: Corresponding B-norm of the residual_naup2: NEV, NP, NUMCNV, NCONV are_naup2: Real part of the eigenvalues of H_naup2: Imaginary part of the eigenvalues of H_naup2: Ritz estimates of the current NCV Ritz values_naup2: Real part of the eig computed by _neigh:_naup2: Imag part of the eig computed by _neigh:_naup2: Ritz eistmates computed by _neigh:LMSMLRSRLISI
_naup2: Sorted real part of the eigenvalues_naup2: Sorted imaginary part of the eigenvalues_naup2: Sorted ritz estimates._naup2: no. of "converged" Ritz values at this iter._naup2: NEV and NP are_naup2: "wanted" Ritz values -- real part_naup2: "wanted" Ritz values -- imag part_naup2: Ritz estimates of the "wanted" values _naup2: The number of shifts to apply _naup2: Real part of the shifts_naup2: Imaginary part of the shifts_naup2: Ritz estimates of the shifts_naup2: B-norm of residual for compressed factorization_naup2: Compressed upper Hessenberg matrix H_neigh: Entering upper Hessenberg matrix H All€?

_neigh: last row of the Schur matrix for HBackRight_neigh: Last row of the eigenvector matrix for H_neigh: The eigenvalues of H_neigh: Ritz estimates for the eigenvalues of H_neigh: Entering upper Hessenberg matrix H Allð?

_neigh: last row of the Schur matrix for HBackRight_neigh: Last row of the eigenvector matrix for H_neigh: The eigenvalues of H_neigh: Ritz estimates for the eigenvalues of HEpsilon-MachineLMSMLRSRLISI_neupd: Ritz values passed in from _NAUPD._neupd: Ritz estimates passed in from _NAUPD._neupd: Ritz values after calling _NGETS._neupd: Ritz value indices after calling _NGETS._neupd: Number of specified eigenvalues
_neupd: Number of "converged" eigenvalues€?All
_neupd: Eigenvalues of H_neupd: Last row of the Schur vector matrix_neupd: The upper triangular matrix VNone_neupd: Eigenvalues of H--reordered_neupd: Triangular matrix after re-orderingREGULRNotransposeRight€¿€Select_neupd: Last row of the eigenvector matrix for T_neupd: The eigenvector matrix for TNon-unitNo transposeUpperSHIFTI_neupd: Untransformed Ritz values._neupd: Ritz estimates of the untransformed Ritz values._neupd: Converged Ritz values._neupd: Associated Ritz estimates.safmin_saitr: generating Arnoldi vector no.
_saitr: B-norm of the current residual =_saitr: ****** restart at step ******ð?GeneralTð¿N_saitr: re-orthonalization ; wnorm and rnorm are_saitr: Iterative refinement for Arnoldi residual_saitr: iterative refinement ; rnorm and rnorm1 are_saitr: main diagonal of matrix H of step K+NP._saitr: sub diagonal of matrix H of step K+NP.LMSMLRSRLISISA
SMLALMLMSMLASABEEpsilon-Machine
_seupd: Ritz values passed in from _SAUPD._seupd: Ritz estimates passed in from _SAUPD._seupd: Ritz values after calling _SGETS._seupd: Ritz value indices after calling _SGETS._seupd: Number of specified eigenvalues_seupd: Number of "converged" eigenvaluesIdentity_seupd: NCV Ritz values of the final H matrix_seupd: last row of the eigenvector matrix for H_seupd: The eigenvalues of H--reorderedREGULRSHIFTI
BUCKLECAYLEYNotransposeRightAllTransposeLeft_seupd: Untransformed converged Ritz values_seupd: Ritz estimates of the untransformed Ritz values_seupd: Converged Ritz values_seupd: Associated Ritz estimatesð?safe minimumprecision_naitr: generating Arnoldi vector number
_naitr: B-norm of the current residual is_naitr: ****** RESTART AT STEP ******€?GeneralT€¿N_naitr: re-orthonalization; wnorm and rnorm are_naitr: j-th column of H_naitr: Iterative refinement for Arnoldi residual_naitr: iterative refinement ; rnorm and rnorm1 are1_naitr: Final upper Hessenberg matrix H of order K+NPEpsilon-Machine
_saup2: **** Start of major iteration number ****_saup2: The length of the current Lanczos factorization_saup2: Extend the Lanczos factorization by_saup2: Current B-norm of residual for factorization_saup2: NEV, NP, NCONV are_saup2: The eigenvalues of H_saup2: Ritz estimates of the current NCV Ritz valuesBE
LMSMLASA_saup2: Sorted Ritz values._saup2: Sorted ritz estimates._saup2: no. of "converged" Ritz values at this iter._saup2: NEV and NP are_saup2: "wanted" Ritz values._saup2: Ritz estimates of the "wanted" values _saup2: The number of shifts to apply _saup2: shifts selected_saup2: corresponding Ritz estimates_saup2: B-norm of residual for NEV factorization_saup2: main diagonal of compressed H matrix_saup2: subdiagonal of compressed H matrix
ð?Cð¿€N_getv0: re-orthonalization ; rnorm0 is_getv0: re-orthonalization ; rnorm is_getv0: B-norm of initial / restarted starting vector_getv0: initial / restarted starting vectorscipy/sparse/linalg/eigen/arpack/ARPACK/UTIL/cvout.f( / 1X, A / 1X, A )( 1X, I4, ' - ', I4, ':', 1X,                                       1P,2('(',E10.3,',',E10.3,')  ') )( 1X, I4, ' - ', I4, ':', 1X,                                       1P,1('(',E10.3,',',E10.3,')  ') )( 1X, ' ' )( 1X, I4, ' - ', I4, ':', 1X,                                       1P,2('(',E12.5,',',E12.5,')  ') )( 1X, I4, ' - ', I4, ':', 1X,                                       1P,1('(',E12.5,',',E12.5,')  ') )( 1X, I4, ' - ', I4, ':', 1X,                                       1P,2('(',E14.7,',',E14.7,')  ') )( 1X, I4, ' - ', I4, ':', 1X,                                       1P,1('(',E14.7,',',E14.7,')  ') )( 1X, I4, ' - ', I4, ':', 1X,                                       1P,1('(',E20.13,',',E20.13,')  ') )( 1X, I4, ' - ', I4, ':', 1X,                                       1P,4('(',E10.3,',',E10.3,')  ') )( 1X, I4, ' - ', I4, ':', 1X,                                       1P,3('(',E10.3,',',E10.3,')  ') )( 1X, I4, ' - ', I4, ':', 1X,                                       1P,3('(',E12.5,',',E12.5,')  ') )( 1X, I4, ' - ', I4, ':', 1X,                                       1P,3('(',E14.7,',',E14.7,')  ') )( 1X, I4, ' - ', I4, ':', 1X,                                       1P,2('(',E20.13,',',E20.13,')  ') )scipy/sparse/linalg/eigen/arpack/ARPACK/UTIL/dmout.f( / 1X, A, / 1X, A )( 10X, 10( 4X, 3A1, I4, 1X ) )( 1X, ' Row', I4, ':', 1X, 1P, 10D12.3 )( 1X, ' ' )( 10X, 8( 5X, 3A1, I4, 2X ) )( 1X, ' Row', I4, ':', 1X, 1P, 8D14.5 )( 10X, 6( 7X, 3A1, I4, 4X ) )( 1X, ' Row', I4, ':', 1X, 1P, 6D18.9 )( 10X, 5( 9X, 3A1, I4, 6X ) )( 1X, ' Row', I4, ':', 1X, 1P, 5D22.13 )scipy/sparse/linalg/eigen/arpack/ARPACK/UTIL/dvout.f( / 1X, A, / 1X, A )( 1X, I4, ' - ', I4, ':', 1P, 10D12.3 )( 1X, ' ' )( 1X, I4, ' - ', I4, ':', 1X, 1P, 8D14.5 )( 1X, I4, ' - ', I4, ':', 1X, 1P, 6D18.9 )( 1X, I4, ' - ', I4, ':', 1X, 1P, 5D24.13 )scipy/sparse/linalg/eigen/arpack/ARPACK/UTIL/svout.f( / 1X, A / 1X, A )( 1X, I4, ' - ', I4, ':', 1P10E12.3 )( 1X, ' ' )( 1X, I4, ' - ', I4, ':', 1X, 1P8E14.5 )( 1X, I4, ' - ', I4, ':', 1X, 1P6E18.9 )( 1X, I4, ' - ', I4, ':', 1X, 1P5E24.13 )scipy/sparse/linalg/eigen/arpack/ARPACK/UTIL/cmout.f( / 1X, A / 1X, A )( 11X, 4( 9X, 3A1, I4, 9X ) )( 1X, ' Row', I4, ':', 1X, 1P,2('(',E10.3,',',E10.3,')  ') )( 1X, ' Row', I4, ':', 1X, 1P,1('(',E10.3,',',E10.3,')  ') )( 1X, ' ' )( 10X, 4( 11X, 3A1, I4, 11X ) )( 1X, ' Row', I4, ':', 1X, 1P,2('(',E12.5,',',E12.5,')  ') )( 1X, ' Row', I4, ':', 1X, 1P,1('(',E12.5,',',E12.5,')  ') )( 10X, 3( 13X, 3A1, I4, 13X ) )( 1X, ' Row', I4, ':', 1X, 1P,2('(',E14.7,',',E14.7,')  ') )( 1X, ' Row', I4, ':', 1X, 1P,1('(',E14.7,',',E14.7,')  ') )( 12X, 2( 18x, 3A1, I4, 18X ) )( 1X, ' Row', I4, ':', 1X, 1P,1('(',E20.13,',',E20.13,')') )( 1X, ' Row', I4, ':', 1X, 1P,4('(',E10.3,',',E10.3,')  ') )( 1X, ' Row', I4, ':', 1X, 1P,3('(',E10.3,',',E10.3,')  ') )( 1X, ' Row', I4, ':', 1X, 1P,3('(',E12.5,',',E12.5,')  ') )( 1X, ' Row', I4, ':', 1X, 1P,3('(',E14.7,',',E14.7,')  ') )( 1X, ' Row', I4, ':', 1X, 1P,2('(',E20.13,',',E20.13,              ')  '))( 1X, ' Row', I4, ':', 1X, 1P,1('(',E20.13,',',E20.13,              ')  '))scipy/sparse/linalg/eigen/arpack/ARPACK/UTIL/zvout.f( / 1X, A / 1X, A )( 1X, I4, ' - ', I4, ':', 1X,                                       1P,2('(',D10.3,',',D10.3,')  ') )( 1X, I4, ' - ', I4, ':', 1X,                                       1P,1('(',D10.3,',',D10.3,')  ') )( 1X, ' ' )( 1X, I4, ' - ', I4, ':', 1X,                                       1P,2('(',D12.5,',',D12.5,')  ') )( 1X, I4, ' - ', I4, ':', 1X,                                       1P,1('(',D12.5,',',D12.5,')  ') )( 1X, I4, ' - ', I4, ':', 1X,                                       1P,2('(',D14.7,',',D14.7,')  ') )( 1X, I4, ' - ', I4, ':', 1X,                                       1P,1('(',D14.7,',',D14.7,')  ') )( 1X, I4, ' - ', I4, ':', 1X,                                       1P,1('(',D20.13,',',D20.13,')  ') )( 1X, I4, ' - ', I4, ':', 1X,                                       1P,4('(',D10.3,',',D10.3,')  ') )( 1X, I4, ' - ', I4, ':', 1X,                                       1P,3('(',D10.3,',',D10.3,')  ') )( 1X, I4, ' - ', I4, ':', 1X,                                       1P,3('(',D12.5,',',D12.5,')  ') )( 1X, I4, ' - ', I4, ':', 1X,                                       1P,3('(',D14.7,',',D14.7,')  ') )( 1X, I4, ' - ', I4, ':', 1X,                                       1P,2('(',D20.13,',',D20.13,')  ') )scipy/sparse/linalg/eigen/arpack/ARPACK/UTIL/zmout.f( / 1X, A / 1X, A )( 11X, 4( 9X, 3A1, I4, 9X ) )( 1X, ' Row', I4, ':', 1X, 1P,2('(',D10.3,',',D10.3,')  ') )( 1X, ' Row', I4, ':', 1X, 1P,1('(',D10.3,',',D10.3,')  ') )( 1X, ' ' )( 10X, 4( 11X, 3A1, I4, 11X ) )( 1X, ' Row', I4, ':', 1X, 1P,2('(',D12.5,',',D12.5,')  ') )( 1X, ' Row', I4, ':', 1X, 1P,1('(',D12.5,',',D12.5,')  ') )( 10X, 3( 13X, 3A1, I4, 13X ) )( 1X, ' Row', I4, ':', 1X, 1P,2('(',D14.7,',',D14.7,')  ') )( 1X, ' Row', I4, ':', 1X, 1P,1('(',D14.7,',',D14.7,')  ') )( 12X, 2( 18x, 3A1, I4, 18X ) )( 1X, ' Row', I4, ':', 1X, 1P,1('(',D20.13,',',D20.13,')') )( 1X, ' Row', I4, ':', 1X, 1P,4('(',D10.3,',',D10.3,')  ') )( 1X, ' Row', I4, ':', 1X, 1P,3('(',D10.3,',',D10.3,')  ') )( 1X, ' Row', I4, ':', 1X, 1P,3('(',D12.5,',',D12.5,')  ') )( 1X, ' Row', I4, ':', 1X, 1P,3('(',D14.7,',',D14.7,')  ') )( 1X, ' Row', I4, ':', 1X, 1P,2('(',D20.13,',',D20.13,              ')  '))( 1X, ' Row', I4, ':', 1X, 1P,1('(',D20.13,',',D20.13,              ')  '))scipy/sparse/linalg/eigen/arpack/ARPACK/UTIL/ivout.f( /1X, A  /1X, A )(1X,I4,' - ',I4,':',20(1X,I5))(1X,' ')(1X,I4,' - ',I4,':',15(1X,I7))(1X,I4,' - ',I4,':',10(1X,I11))(1X,I4,' - ',I4,':',7(1X,I15))scipy/sparse/linalg/eigen/arpack/ARPACK/UTIL/smout.f( / 1X, A / 1X, A )( 10X, 10( 4X, 3A1, I4, 1X ) )( 1X, ' Row', I4, ':', 1X, 1P10E12.3 )( 1X, ' ' )( 10X, 8( 5X, 3A1, I4, 2X ) )( 1X, ' Row', I4, ':', 1X, 1P8E14.5 )( 10X, 6( 7X, 3A1, I4, 4X ) )( 1X, ' Row', I4, ':', 1X, 1P6E18.9 )( 10X, 5( 9X, 3A1, I4, 6X ) )( 1X, ' Row', I4, ':', 1X, 1P5E22.13 )PrecisionSafe minimum1
?Safe minimumPrecision1
è?ܿSafe minimumPrecision1
@?à¾PrecisionSafe minimum1
à?SASMLALMBE
LA
SM_sgets: KEV is_sgets: NP is_sgets: Eigenvalues of current H matrix_sgets: Associated Ritz estimatesLMSMLRSRLISILM
LRSMSRLISI_ngets: KEV is
_ngets: NP is_ngets: Eigenvalues of current H matrix -- real part_ngets: Eigenvalues of current H matrix -- imag part_ngets: Ritz estimates of the current KEV+NP Ritz values
SM_ngets: KEV is
_ngets: NP is_ngets: Eigenvalues of current H matrix _ngets: Ritz estimates of the current KEV+NP Ritz valuesLMSMLRSRLISI_seigt: main diagonal of matrix H_seigt: sub diagonal of matrix H
_seigt: last row of the eigenvector matrix for HEpsilon-MachineEpsilon-Machineesig
ð?bvrf@safe minimumprecisionð?All_napps: shift number.
_napps: Value of the shift 1_napps: matrix splitting at row/column no._napps: matrix splitting with shift number._napps: off diagonal element._napps: Start of current block _napps: End of current block NA_napps: sigmak = (e_{kev+p}^T*Q)*e_{kev}_napps: betak = e_{kev+1}^T*H*e_{kev}_napps: Order of the final Hessenberg matrix _napps: updated Hessenberg matrix H for next iteration
€?T€¿N_getv0: re-orthonalization ; rnorm0 is_getv0: re-orthonalization ; rnorm is_getv0: B-norm of initial / restarted starting vector_getv0: initial / restarted starting vectorEpsilon-Machine
_naup2: **** Start of major iteration number ****_naup2: The length of the current Arnoldi factorization_naup2: Extend the Arnoldi factorization by_naup2: Corresponding B-norm of the residual_naup2: NEV, NP, NUMCNV, NCONV are_naup2: Real part of the eigenvalues of H_naup2: Imaginary part of the eigenvalues of H_naup2: Ritz estimates of the current NCV Ritz values_naup2: Real part of the eig computed by _neigh:_naup2: Imag part of the eig computed by _neigh:_naup2: Ritz eistmates computed by _neigh:LMSMLRSRLISI
_naup2: Sorted real part of the eigenvalues_naup2: Sorted imaginary part of the eigenvalues_naup2: Sorted ritz estimates._naup2: no. of "converged" Ritz values at this iter._naup2: NEV and NP are_naup2: "wanted" Ritz values -- real part_naup2: "wanted" Ritz values -- imag part_naup2: Ritz estimates of the "wanted" values _naup2: The number of shifts to apply _naup2: Real part of the shifts_naup2: Imaginary part of the shifts_naup2: Ritz estimates of the shifts_naup2: B-norm of residual for compressed factorization_naup2: Compressed upper Hessenberg matrix Hsafe minimumprecisionð?All_napps: shift number.
_napps: The real part of the shift _napps: The imaginary part of the shift 1_napps: matrix splitting at row/column no._napps: matrix splitting with shift number._napps: off diagonal element._napps: Start of current block _napps: End of current block LeftRightð¿NA_napps: sigmak = (e_{kev+p}^T*Q)*e_{kev}_napps: betak = e_{kev+1}^T*H*e_{kev}_napps: Order of the final Hessenberg matrix _napps: updated Hessenberg matrix H for next iterationsafmin_saitr: generating Arnoldi vector no.
_saitr: B-norm of the current residual =_saitr: ****** restart at step ******€?GeneralT€¿N_saitr: re-orthonalization ; wnorm and rnorm are_saitr: Iterative refinement for Arnoldi residual_saitr: iterative refinement ; rnorm and rnorm1 are_saitr: main diagonal of matrix H of step K+NP._saitr: sub diagonal of matrix H of step K+NP.LM
LRSMSRLISI_ngets: KEV is
_ngets: NP is_ngets: Eigenvalues of current H matrix -- real part_ngets: Eigenvalues of current H matrix -- imag part_ngets: Ritz estimates of the current KEV+NP Ritz values_seigt: main diagonal of matrix H_seigt: sub diagonal of matrix H
_seigt: last row of the eigenvector matrix for HEpsilon-Machine€?All_sapps: deflation at row/column no.
_sapps: occured before shift number._sapps: the corresponding off diagonal element€¿N_sapps: sigmak of the updated residual vector_sapps: betak of the updated residual vector_sapps: updated main diagonal of H for next iteration_sapps: updated sub diagonal of H for next iterationsafe minimumprecision€?All_napps: shift number.
_napps: The real part of the shift _napps: The imaginary part of the shift 1_napps: matrix splitting at row/column no._napps: matrix splitting with shift number._napps: off diagonal element._napps: Start of current block _napps: End of current block LeftRight€¿NA_napps: sigmak = (e_{kev+p}^T*Q)*e_{kev}_napps: betak = e_{kev+1}^T*H*e_{kev}_napps: Order of the final Hessenberg matrix _napps: updated Hessenberg matrix H for next iterationSA
SMLALMsafe minimumprecision_naitr: generating Arnoldi vector number
_naitr: B-norm of the current residual is_naitr: ****** RESTART AT STEP ******ð?GeneralTð¿N_naitr: re-orthonalization; wnorm and rnorm are_naitr: j-th column of H_naitr: Iterative refinement for Arnoldi residual_naitr: iterative refinement ; rnorm and rnorm1 are1_naitr: Final upper Hessenberg matrix H of order K+NPesig
€?bvrf@@_neigh: Entering upper Hessenberg matrix H All

_neigh: last row of the Schur matrix for HAR€?T_neigh: Last row of the eigenvector matrix for H_neigh: Real part of the eigenvalues of H_neigh: Imaginary part of the eigenvalues of H_neigh: Ritz estimates for the eigenvalues of H_neigh: Entering upper Hessenberg matrix H All

_neigh: last row of the Schur matrix for HARð?T_neigh: Last row of the eigenvector matrix for H_neigh: Real part of the eigenvalues of H_neigh: Imaginary part of the eigenvalues of H_neigh: Ritz estimates for the eigenvalues of HEpsilon-Machinesafe minimumprecision1
Epsilon-Machinesafe minimumprecision1

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Wrapper for ``zneupd``.

Parameters
----------
rvec : input int
howmny : input string(len=1)
select : input rank-1 array('i') with bounds (ncv)
sigma : input complex
workev : input rank-1 array('D') with bounds (3 * ncv)
bmat : input string(len=1)
which : input string(len=2)
nev : input int
tol : input float
resid : input rank-1 array('D') with bounds (n)
v : input rank-2 array('D') with bounds (ldv,ncv)
iparam : input rank-1 array('i') with bounds (11)
ipntr : input rank-1 array('i') with bounds (14)
workd : input rank-1 array('D') with bounds (3 * n)
workl : input rank-1 array('D') with bounds (lworkl)
rwork : input rank-1 array('d') with bounds (ncv)
info : input int

Other Parameters
----------------
ldz : input int, optional
    Default: shape(z,0)
n : input int, optional
    Default: len(resid)
ncv : input int, optional
    Default: len(select)
ldv : input int, optional
    Default: shape(v,0)
lworkl : input int, optional
    Default: len(workl)

Returns
-------
d : rank-1 array('D') with bounds (nev)
z : rank-2 array('D') with bounds (n,nev)
info : intd,z,info = cneupd(rvec,howmny,select,sigma,workev,bmat,which,nev,tol,resid,v,iparam,ipntr,workd,workl,rwork,info,[ldz,n,ncv,ldv,lworkl])

Wrapper for ``cneupd``.

Parameters
----------
rvec : input int
howmny : input string(len=1)
select : input rank-1 array('i') with bounds (ncv)
sigma : input complex
workev : input rank-1 array('F') with bounds (3 * ncv)
bmat : input string(len=1)
which : input string(len=2)
nev : input int
tol : input float
resid : input rank-1 array('F') with bounds (n)
v : input rank-2 array('F') with bounds (ldv,ncv)
iparam : input rank-1 array('i') with bounds (11)
ipntr : input rank-1 array('i') with bounds (14)
workd : input rank-1 array('F') with bounds (3 * n)
workl : input rank-1 array('F') with bounds (lworkl)
rwork : input rank-1 array('f') with bounds (ncv)
info : input int

Other Parameters
----------------
ldz : input int, optional
    Default: shape(z,0)
n : input int, optional
    Default: len(resid)
ncv : input int, optional
    Default: len(select)
ldv : input int, optional
    Default: shape(v,0)
lworkl : input int, optional
    Default: len(workl)

Returns
-------
d : rank-1 array('F') with bounds (nev)
z : rank-2 array('F') with bounds (n,nev)
info : intido,tol,resid,v,iparam,ipntr,info = znaupd(ido,bmat,which,nev,tol,resid,v,iparam,ipntr,workd,workl,rwork,info,[n,ncv,ldv,lworkl])

Wrapper for ``znaupd``.

Parameters
----------
ido : input int
bmat : input string(len=1)
which : input string(len=2)
nev : input int
tol : input float
resid : input rank-1 array('D') with bounds (n)
v : input rank-2 array('D') with bounds (ldv,ncv)
iparam : input rank-1 array('i') with bounds (11)
ipntr : input rank-1 array('i') with bounds (14)
workd : in/output rank-1 array('D') with bounds (3 * n)
workl : in/output rank-1 array('D') with bounds (lworkl)
rwork : in/output rank-1 array('d') with bounds (ncv)
info : input int

Other Parameters
----------------
n : input int, optional
    Default: len(resid)
ncv : input int, optional
    Default: shape(v,1)
ldv : input int, optional
    Default: shape(v,0)
lworkl : input int, optional
    Default: len(workl)

Returns
-------
ido : int
tol : float
resid : rank-1 array('D') with bounds (n)
v : rank-2 array('D') with bounds (ldv,ncv)
iparam : rank-1 array('i') with bounds (11)
ipntr : rank-1 array('i') with bounds (14)
info : intido,tol,resid,v,iparam,ipntr,info = cnaupd(ido,bmat,which,nev,tol,resid,v,iparam,ipntr,workd,workl,rwork,info,[n,ncv,ldv,lworkl])

Wrapper for ``cnaupd``.

Parameters
----------
ido : input int
bmat : input string(len=1)
which : input string(len=2)
nev : input int
tol : input float
resid : input rank-1 array('F') with bounds (n)
v : input rank-2 array('F') with bounds (ldv,ncv)
iparam : input rank-1 array('i') with bounds (11)
ipntr : input rank-1 array('i') with bounds (14)
workd : in/output rank-1 array('F') with bounds (3 * n)
workl : in/output rank-1 array('F') with bounds (lworkl)
rwork : in/output rank-1 array('f') with bounds (ncv)
info : input int

Other Parameters
----------------
n : input int, optional
    Default: len(resid)
ncv : input int, optional
    Default: shape(v,1)
ldv : input int, optional
    Default: shape(v,0)
lworkl : input int, optional
    Default: len(workl)

Returns
-------
ido : int
tol : float
resid : rank-1 array('F') with bounds (n)
v : rank-2 array('F') with bounds (ldv,ncv)
iparam : rank-1 array('i') with bounds (11)
ipntr : rank-1 array('i') with bounds (14)
info : intdr,di,z,info = dneupd(rvec,howmny,select,sigmar,sigmai,workev,bmat,which,nev,tol,resid,v,iparam,ipntr,workd,workl,info,[ldz,n,ncv,ldv,lworkl])

Wrapper for ``dneupd``.

Parameters
----------
rvec : input int
howmny : input string(len=1)
select : input rank-1 array('i') with bounds (ncv)
sigmar : input float
sigmai : input float
workev : input rank-1 array('d') with bounds (3 * ncv)
bmat : input string(len=1)
which : input string(len=2)
nev : input int
tol : input float
resid : input rank-1 array('d') with bounds (n)
v : input rank-2 array('d') with bounds (n,ncv)
iparam : input rank-1 array('i') with bounds (11)
ipntr : input rank-1 array('i') with bounds (14)
workd : input rank-1 array('d') with bounds (3 * n)
workl : input rank-1 array('d') with bounds (lworkl)
info : input int

Other Parameters
----------------
ldz : input int, optional
    Default: shape(z,0)
n : input int, optional
    Default: len(resid)
ncv : input int, optional
    Default: len(select)
ldv : input int, optional
    Default: shape(v,0)
lworkl : input int, optional
    Default: len(workl)

Returns
-------
dr : rank-1 array('d') with bounds (nev + 1)
di : rank-1 array('d') with bounds (nev + 1)
z : rank-2 array('d') with bounds (n,nev + 1)
info : intdr,di,z,info = sneupd(rvec,howmny,select,sigmar,sigmai,workev,bmat,which,nev,tol,resid,v,iparam,ipntr,workd,workl,info,[ldz,n,ncv,ldv,lworkl])

Wrapper for ``sneupd``.

Parameters
----------
rvec : input int
howmny : input string(len=1)
select : input rank-1 array('i') with bounds (ncv)
sigmar : input float
sigmai : input float
workev : input rank-1 array('f') with bounds (3 * ncv)
bmat : input string(len=1)
which : input string(len=2)
nev : input int
tol : input float
resid : input rank-1 array('f') with bounds (n)
v : input rank-2 array('f') with bounds (n,ncv)
iparam : input rank-1 array('i') with bounds (11)
ipntr : input rank-1 array('i') with bounds (14)
workd : input rank-1 array('f') with bounds (3 * n)
workl : input rank-1 array('f') with bounds (lworkl)
info : input int

Other Parameters
----------------
ldz : input int, optional
    Default: shape(z,0)
n : input int, optional
    Default: len(resid)
ncv : input int, optional
    Default: len(select)
ldv : input int, optional
    Default: shape(v,0)
lworkl : input int, optional
    Default: len(workl)

Returns
-------
dr : rank-1 array('f') with bounds (nev + 1)
di : rank-1 array('f') with bounds (nev + 1)
z : rank-2 array('f') with bounds (n,nev + 1)
info : intido,tol,resid,v,iparam,ipntr,info = dnaupd(ido,bmat,which,nev,tol,resid,v,iparam,ipntr,workd,workl,info,[n,ncv,ldv,lworkl])

Wrapper for ``dnaupd``.

Parameters
----------
ido : input int
bmat : input string(len=1)
which : input string(len=2)
nev : input int
tol : input float
resid : input rank-1 array('d') with bounds (n)
v : input rank-2 array('d') with bounds (ldv,ncv)
iparam : input rank-1 array('i') with bounds (11)
ipntr : input rank-1 array('i') with bounds (14)
workd : in/output rank-1 array('d') with bounds (3 * n)
workl : in/output rank-1 array('d') with bounds (lworkl)
info : input int

Other Parameters
----------------
n : input int, optional
    Default: len(resid)
ncv : input int, optional
    Default: shape(v,1)
ldv : input int, optional
    Default: shape(v,0)
lworkl : input int, optional
    Default: len(workl)

Returns
-------
ido : int
tol : float
resid : rank-1 array('d') with bounds (n)
v : rank-2 array('d') with bounds (ldv,ncv)
iparam : rank-1 array('i') with bounds (11)
ipntr : rank-1 array('i') with bounds (14)
info : intido,tol,resid,v,iparam,ipntr,info = snaupd(ido,bmat,which,nev,tol,resid,v,iparam,ipntr,workd,workl,info,[n,ncv,ldv,lworkl])

Wrapper for ``snaupd``.

Parameters
----------
ido : input int
bmat : input string(len=1)
which : input string(len=2)
nev : input int
tol : input float
resid : input rank-1 array('f') with bounds (n)
v : input rank-2 array('f') with bounds (ldv,ncv)
iparam : input rank-1 array('i') with bounds (11)
ipntr : input rank-1 array('i') with bounds (14)
workd : in/output rank-1 array('f') with bounds (3 * n)
workl : in/output rank-1 array('f') with bounds (lworkl)
info : input int

Other Parameters
----------------
n : input int, optional
    Default: len(resid)
ncv : input int, optional
    Default: shape(v,1)
ldv : input int, optional
    Default: shape(v,0)
lworkl : input int, optional
    Default: len(workl)

Returns
-------
ido : int
tol : float
resid : rank-1 array('f') with bounds (n)
v : rank-2 array('f') with bounds (ldv,ncv)
iparam : rank-1 array('i') with bounds (11)
ipntr : rank-1 array('i') with bounds (14)
info : intd,z,info = dseupd(rvec,howmny,select,sigma,bmat,which,nev,tol,resid,v,iparam,ipntr,workd,workl,info,[ldz,n,ncv,ldv,lworkl])

Wrapper for ``dseupd``.

Parameters
----------
rvec : input int
howmny : input string(len=1)
select : input rank-1 array('i') with bounds (ncv)
sigma : input float
bmat : input string(len=1)
which : input string(len=2)
nev : input int
tol : input float
resid : input rank-1 array('d') with bounds (n)
v : input rank-2 array('d') with bounds (ldv,ncv)
iparam : input rank-1 array('i') with bounds (7)
ipntr : input rank-1 array('i') with bounds (11)
workd : input rank-1 array('d') with bounds (2 * n)
workl : input rank-1 array('d') with bounds (lworkl)
info : input int

Other Parameters
----------------
ldz : input int, optional
    Default: shape(z,0)
n : input int, optional
    Default: len(resid)
ncv : input int, optional
    Default: len(select)
ldv : input int, optional
    Default: shape(v,0)
lworkl : input int, optional
    Default: len(workl)

Returns
-------
d : rank-1 array('d') with bounds (nev)
z : rank-2 array('d') with bounds (n,nev)
info : intd,z,info = sseupd(rvec,howmny,select,sigma,bmat,which,nev,tol,resid,v,iparam,ipntr,workd,workl,info,[ldz,n,ncv,ldv,lworkl])

Wrapper for ``sseupd``.

Parameters
----------
rvec : input int
howmny : input string(len=1)
select : input rank-1 array('i') with bounds (ncv)
sigma : input float
bmat : input string(len=1)
which : input string(len=2)
nev : input int
tol : input float
resid : input rank-1 array('f') with bounds (n)
v : input rank-2 array('f') with bounds (ldv,ncv)
iparam : input rank-1 array('i') with bounds (7)
ipntr : input rank-1 array('i') with bounds (11)
workd : input rank-1 array('f') with bounds (2 * n)
workl : input rank-1 array('f') with bounds (lworkl)
info : input int

Other Parameters
----------------
ldz : input int, optional
    Default: shape(z,0)
n : input int, optional
    Default: len(resid)
ncv : input int, optional
    Default: len(select)
ldv : input int, optional
    Default: shape(v,0)
lworkl : input int, optional
    Default: len(workl)

Returns
-------
d : rank-1 array('f') with bounds (nev)
z : rank-2 array('f') with bounds (n,nev)
info : intido,tol,resid,v,iparam,ipntr,info = dsaupd(ido,bmat,which,nev,tol,resid,v,iparam,ipntr,workd,workl,info,[n,ncv,ldv,lworkl])

Wrapper for ``dsaupd``.

Parameters
----------
ido : input int
bmat : input string(len=1)
which : input string(len=2)
nev : input int
tol : input float
resid : input rank-1 array('d') with bounds (n)
v : input rank-2 array('d') with bounds (ldv,ncv)
iparam : input rank-1 array('i') with bounds (11)
ipntr : input rank-1 array('i') with bounds (11)
workd : in/output rank-1 array('d') with bounds (3 * n)
workl : in/output rank-1 array('d') with bounds (lworkl)
info : input int

Other Parameters
----------------
n : input int, optional
    Default: len(resid)
ncv : input int, optional
    Default: shape(v,1)
ldv : input int, optional
    Default: shape(v,0)
lworkl : input int, optional
    Default: len(workl)

Returns
-------
ido : int
tol : float
resid : rank-1 array('d') with bounds (n)
v : rank-2 array('d') with bounds (ldv,ncv)
iparam : rank-1 array('i') with bounds (11)
ipntr : rank-1 array('i') with bounds (11)
info : intido,tol,resid,v,iparam,ipntr,info = ssaupd(ido,bmat,which,nev,tol,resid,v,iparam,ipntr,workd,workl,info,[n,ncv,ldv,lworkl])

Wrapper for ``ssaupd``.

Parameters
----------
ido : input int
bmat : input string(len=1)
which : input string(len=2)
nev : input int
tol : input float
resid : input rank-1 array('f') with bounds (n)
v : input rank-2 array('f') with bounds (ldv,ncv)
iparam : input rank-1 array('i') with bounds (11)
ipntr : input rank-1 array('i') with bounds (11)
workd : in/output rank-1 array('f') with bounds (3 * n)
workl : in/output rank-1 array('f') with bounds (lworkl)
info : input int

Other Parameters
----------------
n : input int, optional
    Default: len(resid)
ncv : input int, optional
    Default: shape(v,1)
ldv : input int, optional
    Default: shape(v,0)
lworkl : input int, optional
    Default: len(workl)

Returns
-------
ido : int
tol : float
resid : rank-1 array('f') with bounds (n)
v : rank-2 array('f') with bounds (ldv,ncv)
iparam : rank-1 array('i') with bounds (11)
ipntr : rank-1 array('i') with bounds (11)
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