"""
Interface to the UMFPACK library.

--
Author: Robert Cimrman
"""


#from base import Struct, pause
import numpy as np
import scipy.sparse as sp
import re
try: # Silence import error.
    import _umfpack as _um
except:
    _um = None

assumeSortedIndices = False

##
# 10.01.2006, c
def configure( **kwargs ):
    """
    Valid keyword arguments with defaults (other ignored):
      assumeSortedIndices = False

    Umfpack requires a CSR/CSC matrix to have sorted column/row indices. If
    sure that the matrix fulfills this, pass assumeSortedIndices =
    True to gain some speed.
    """
    if 'assumeSortedIndices' in kwargs:
        globals()['assumeSortedIndices'] = kwargs['assumeSortedIndices']


##
# 30.11.2005, c
def updateDictWithVars( adict, module, pattern, group = None ):
    match = re.compile( pattern ).match

    for name in [ii for ii in vars( module ).keys()
                 if match( ii )]:
        if group is not None:
            outName = match( name ).group( group )
        else:
            outName = name

        adict[outName] = module.__dict__[name]

    return adict

##
# How to list these automagically?
umfControls = [
    'UMFPACK_PRL',
    'UMFPACK_DENSE_ROW',
    'UMFPACK_DENSE_COL',
    'UMFPACK_BLOCK_SIZE',
    'UMFPACK_STRATEGY',
    'UMFPACK_2BY2_TOLERANCE',
    'UMFPACK_FIXQ',
    'UMFPACK_AMD_DENSE',
    'UMFPACK_AGGRESSIVE',
    'UMFPACK_PIVOT_TOLERANCE',
    'UMFPACK_ALLOC_INIT',
    'UMFPACK_SYM_PIVOT_TOLERANCE',
    'UMFPACK_SCALE',
    'UMFPACK_FRONT_ALLOC_INIT',
    'UMFPACK_DROPTOL',
    'UMFPACK_IRSTEP',
    'UMFPACK_COMPILED_WITH_BLAS',
    'UMFPACK_COMPILED_FOR_MATLAB',
    'UMFPACK_COMPILED_WITH_GETRUSAGE',
    'UMFPACK_COMPILED_IN_DEBUG_MODE',
    'UMFPACK_STRATEGY_AUTO',
    'UMFPACK_STRATEGY_UNSYMMETRIC',
    'UMFPACK_STRATEGY_2BY2',
    'UMFPACK_STRATEGY_SYMMETRIC',
    'UMFPACK_SCALE_NONE',
    'UMFPACK_SCALE_SUM',
    'UMFPACK_SCALE_MAX',
]

umfInfo = [
    'UMFPACK_STATUS',
    'UMFPACK_NROW',
    'UMFPACK_NCOL',
    'UMFPACK_NZ',
    'UMFPACK_SIZE_OF_UNIT',
    'UMFPACK_SIZE_OF_INT',
    'UMFPACK_SIZE_OF_LONG',
    'UMFPACK_SIZE_OF_POINTER',
    'UMFPACK_SIZE_OF_ENTRY',
    'UMFPACK_NDENSE_ROW',
    'UMFPACK_NEMPTY_ROW',
    'UMFPACK_NDENSE_COL',
    'UMFPACK_NEMPTY_COL',
    'UMFPACK_SYMBOLIC_DEFRAG',
    'UMFPACK_SYMBOLIC_PEAK_MEMORY',
    'UMFPACK_SYMBOLIC_SIZE',
    'UMFPACK_SYMBOLIC_TIME',
    'UMFPACK_SYMBOLIC_WALLTIME',
    'UMFPACK_STRATEGY_USED',
    'UMFPACK_ORDERING_USED',
    'UMFPACK_QFIXED',
    'UMFPACK_DIAG_PREFERRED',
    'UMFPACK_PATTERN_SYMMETRY',
    'UMFPACK_NZ_A_PLUS_AT',
    'UMFPACK_NZDIAG',
    'UMFPACK_SYMMETRIC_LUNZ',
    'UMFPACK_SYMMETRIC_FLOPS',
    'UMFPACK_SYMMETRIC_NDENSE',
    'UMFPACK_SYMMETRIC_DMAX',
    'UMFPACK_2BY2_NWEAK',
    'UMFPACK_2BY2_UNMATCHED',
    'UMFPACK_2BY2_PATTERN_SYMMETRY',
    'UMFPACK_2BY2_NZ_PA_PLUS_PAT',
    'UMFPACK_2BY2_NZDIAG',
    'UMFPACK_COL_SINGLETONS',
    'UMFPACK_ROW_SINGLETONS',
    'UMFPACK_N2',
    'UMFPACK_S_SYMMETRIC',
    'UMFPACK_NUMERIC_SIZE_ESTIMATE',
    'UMFPACK_PEAK_MEMORY_ESTIMATE',
    'UMFPACK_FLOPS_ESTIMATE',
    'UMFPACK_LNZ_ESTIMATE',
    'UMFPACK_UNZ_ESTIMATE',
    'UMFPACK_VARIABLE_INIT_ESTIMATE',
    'UMFPACK_VARIABLE_PEAK_ESTIMATE',
    'UMFPACK_VARIABLE_FINAL_ESTIMATE',
    'UMFPACK_MAX_FRONT_SIZE_ESTIMATE',
    'UMFPACK_MAX_FRONT_NROWS_ESTIMATE',
    'UMFPACK_MAX_FRONT_NCOLS_ESTIMATE',
    'UMFPACK_NUMERIC_SIZE',
    'UMFPACK_PEAK_MEMORY',
    'UMFPACK_FLOPS',
    'UMFPACK_LNZ',
    'UMFPACK_UNZ',
    'UMFPACK_VARIABLE_INIT',
    'UMFPACK_VARIABLE_PEAK',
    'UMFPACK_VARIABLE_FINAL',
    'UMFPACK_MAX_FRONT_SIZE',
    'UMFPACK_MAX_FRONT_NROWS',
    'UMFPACK_MAX_FRONT_NCOLS',
    'UMFPACK_NUMERIC_DEFRAG',
    'UMFPACK_NUMERIC_REALLOC',
    'UMFPACK_NUMERIC_COSTLY_REALLOC',
    'UMFPACK_COMPRESSED_PATTERN',
    'UMFPACK_LU_ENTRIES',
    'UMFPACK_NUMERIC_TIME',
    'UMFPACK_UDIAG_NZ',
    'UMFPACK_RCOND',
    'UMFPACK_WAS_SCALED',
    'UMFPACK_RSMIN',
    'UMFPACK_RSMAX',
    'UMFPACK_UMIN',
    'UMFPACK_UMAX',
    'UMFPACK_ALLOC_INIT_USED',
    'UMFPACK_FORCED_UPDATES',
    'UMFPACK_NUMERIC_WALLTIME',
    'UMFPACK_NOFF_DIAG',
    'UMFPACK_ALL_LNZ',
    'UMFPACK_ALL_UNZ',
    'UMFPACK_NZDROPPED',
    'UMFPACK_IR_TAKEN',
    'UMFPACK_IR_ATTEMPTED',
    'UMFPACK_OMEGA1',
    'UMFPACK_OMEGA2',
    'UMFPACK_SOLVE_FLOPS',
    'UMFPACK_SOLVE_TIME',
    'UMFPACK_SOLVE_WALLTIME',
    'UMFPACK_ORDERING_COLAMD',
    'UMFPACK_ORDERING_AMD',
    'UMFPACK_ORDERING_GIVEN',
]

if _um:
    ##
    # Export UMFPACK constants from _um.
    umfDefines = updateDictWithVars( {}, _um, 'UMFPACK_.*' )
    locals().update( umfDefines )


    umfStatus = {
        UMFPACK_OK : 'UMFPACK_OK',
        UMFPACK_WARNING_singular_matrix : 'UMFPACK_WARNING_singular_matrix',
        UMFPACK_WARNING_determinant_underflow : 'UMFPACK_WARNING_determinant_underflow',
        UMFPACK_WARNING_determinant_overflow : 'UMFPACK_WARNING_determinant_overflow',
        UMFPACK_ERROR_out_of_memory : 'UMFPACK_ERROR_out_of_memory',
        UMFPACK_ERROR_invalid_Numeric_object : 'UMFPACK_ERROR_invalid_Numeric_object',
        UMFPACK_ERROR_invalid_Symbolic_object : 'UMFPACK_ERROR_invalid_Symbolic_object',
        UMFPACK_ERROR_argument_missing : 'UMFPACK_ERROR_argument_missing',
        UMFPACK_ERROR_n_nonpositive : 'UMFPACK_ERROR_n_nonpositive',
        UMFPACK_ERROR_invalid_matrix : 'UMFPACK_ERROR_invalid_matrix',
        UMFPACK_ERROR_different_pattern : 'UMFPACK_ERROR_different_pattern',
        UMFPACK_ERROR_invalid_system : 'UMFPACK_ERROR_invalid_system',
        UMFPACK_ERROR_invalid_permutation : 'UMFPACK_ERROR_invalid_permutation',
        UMFPACK_ERROR_internal_error : 'UMFPACK_ERROR_internal_error',
        UMFPACK_ERROR_file_IO : 'UMFPACK_ERROR_file_IO',
    }

    umfSys = [
        UMFPACK_A,
        UMFPACK_At,
        UMFPACK_Aat,
        UMFPACK_Pt_L,
        UMFPACK_L,
        UMFPACK_Lt_P,
        UMFPACK_Lat_P,
        UMFPACK_Lt,
        UMFPACK_U_Qt,
        UMFPACK_U,
        UMFPACK_Q_Ut,
        UMFPACK_Q_Uat,
        UMFPACK_Ut,
        UMFPACK_Uat,
    ]

    # Real, complex.
    umfSys_transposeMap = [
        {UMFPACK_A : UMFPACK_At,
         UMFPACK_At : UMFPACK_A,
         UMFPACK_Aat : UMFPACK_A},
        {UMFPACK_A : UMFPACK_Aat,
         UMFPACK_Aat : UMFPACK_A}
    ]

umfFamilyTypes = {'di' : int, 'dl' : long, 'zi' : int, 'zl' : long}
umfRealTypes = ('di', 'dl')
umfComplexTypes = ('zi', 'zl')

##
# 02.01.2005
class Struct( object ):
    # 03.10.2005, c
    # 26.10.2005
    def __init__( self, **kwargs ):
        if kwargs:
            self.__dict__.update( kwargs )

    # 08.03.2005
    def __str__( self ):
        ss = "%s\n" % self.__class__
        for key, val in self.__dict__.iteritems():
            if (issubclass( self.__dict__[key].__class__, Struct )):
                ss += "  %s:\n    %s\n" % (key, self.__dict__[key].__class__)
            else:
                aux = "\n" + str( val )
                aux = aux.replace( "\n", "\n    " );
                ss += "  %s:\n%s\n" % (key, aux[1:])
        return( ss.rstrip() )

##
# 30.11.2005, c
class UmfpackContext( Struct ):

    ##
    # 30.11.2005, c
    # 01.12.2005
    # 21.12.2005
    # 01.03.2006
    def __init__( self, family = 'di', **kwargs ):
        """
        Arguments:

        family  .. family of UMFPACK functions ('di', 'dl', 'zi', 'zl')

        Keyword arguments:

        maxCond .. if extimated condition number is greater than maxCond,
                   a warning is printed (default: 1e12)"""
        if _um is None:
            raise ImportError('Scipy was built without UMFPACK support. ' 
                              'You need to install the UMFPACK library and ' 
                              'header files before building scipy.')

        self.maxCond = 1e12
        Struct.__init__( self, **kwargs )

        if family not in umfFamilyTypes.keys():
            raise TypeError('wrong family: %s' % family)

        self.family = family
        self.control = np.zeros( (UMFPACK_CONTROL, ), dtype = np.double )
        self.info = np.zeros( (UMFPACK_INFO, ), dtype = np.double )
        self._symbolic = None
        self._numeric = None
        self.mtx = None
        self.isReal = self.family in umfRealTypes

        ##
        # Functions corresponding to <family> are stored in self.funs.
        pattern = 'umfpack_' + family + '_(.*)'
        fn = updateDictWithVars( {}, _um, pattern, group = 1 )
        self.funs = Struct( **fn )

        self.funs.defaults( self.control )
        self.control[UMFPACK_PRL] = 3

    ##
    # 30.11.2005, c
    def strControl( self ):
        maxLen = max( [len( name ) for name in umfControls] )
        format = '%%-%ds : %%d' % maxLen
        aux = [format % (name, self.control[umfDefines[name]])
               for name in umfControls if name in umfDefines]
        return '\n'.join( aux )

    ##
    # 01.12.2005, c
    def strInfo( self ):
        maxLen = max( [len( name ) for name in umfInfo] )
        format = '%%-%ds : %%d' % maxLen
        aux = [format % (name, self.info[umfDefines[name]])
               for name in umfInfo if name in umfDefines]
        return '\n'.join( aux )

    ##
    # 30.11.2005, c
    # 01.12.2005
    # 14.12.2005
    # 01.03.2006
    def _getIndx( self, mtx ):

        if sp.isspmatrix_csc( mtx ):
            indx = mtx.indices
            self.isCSR = 0
        elif sp.isspmatrix_csr( mtx ):
            indx = mtx.indices
            self.isCSR = 1
        else:
            raise TypeError('must be a CSC/CSR matrix (is %s)' % mtx.__class__)

        ##
        # Should check types of indices to correspond to familyTypes.
        if self.family[1] == 'i':
            if (indx.dtype != np.dtype('i')) \
                   or mtx.indptr.dtype != np.dtype('i'):
                raise ValueError('matrix must have int indices')
        else:
            if (indx.dtype != np.dtype('l')) \
                   or mtx.indptr.dtype != np.dtype('l'):
                raise ValueError('matrix must have long indices')

        if self.isReal:
            if mtx.data.dtype != np.dtype('<f8'):
                raise ValueError('matrix must have float64 values')
        else:
            if mtx.data.dtype != np.dtype('<c16'):
                raise ValueError('matrix must have complex128 values')

        return indx

    ##
    # 30.11.2005, c
    # last revision: 10.01.2007
    def symbolic( self, mtx ):
        """Symbolic object (symbolic LU decomposition) computation for a given
        sparsity pattern."""
        self.free_symbolic()

        indx = self._getIndx( mtx )

        if not assumeSortedIndices:
            # row/column indices cannot be assumed to be sorted
            mtx.sort_indices()

        if self.isReal:
            status, self._symbolic\
                    = self.funs.symbolic( mtx.shape[0], mtx.shape[1],
                                          mtx.indptr, indx, mtx.data,
                                          self.control, self.info )
        else:
            real, imag = mtx.data.real.copy(), mtx.data.imag.copy()
            status, self._symbolic\
                    = self.funs.symbolic( mtx.shape[0], mtx.shape[1],
                                          mtx.indptr, indx,
                                          real, imag,
                                          self.control, self.info )
##         print status, self._symbolic

        if status != UMFPACK_OK:
            raise RuntimeError('%s failed with %s' % (self.funs.symbolic,
                                                       umfStatus[status]))

        self.mtx = mtx

    ##
    # 30.11.2005, c
    # 01.12.2005
    # 02.12.2005
    # 01.03.2006
    def numeric( self, mtx ):
        """Numeric object (LU decomposition) computation using the
        symbolic decomposition. The symbolic decomposition is (re)computed
        if necessary."""

        self.free_numeric()

        if self._symbolic is None:
            self.symbolic( mtx )

        indx = self._getIndx( mtx )

        failCount = 0
        while 1:
            if self.isReal:
                status, self._numeric\
                        = self.funs.numeric( mtx.indptr, indx, mtx.data,
                                             self._symbolic,
                                             self.control, self.info )
            else:
                real, imag = mtx.data.real.copy(), mtx.data.imag.copy()
                status, self._numeric\
                        = self.funs.numeric( mtx.indptr, indx,
                                             real, imag,
                                             self._symbolic,
                                             self.control, self.info )
##             print status, self._numeric

            if status != UMFPACK_OK:
                if status == UMFPACK_WARNING_singular_matrix:
                    print 'warning: singular matrix'
                    break
                elif status in (UMFPACK_ERROR_different_pattern,
                                UMFPACK_ERROR_invalid_Symbolic_object):
                    # Try again.
                    print 'warning: recomputing symbolic'
                    self.symbolic( mtx )
                    failCount += 1
                else:
                    failCount += 100
            else:
                break
            if failCount >= 2:
                raise RuntimeError('%s failed with %s' % (self.funs.numeric,
                                                           umfStatus[status]))

    ##
    # 14.12.2005, c
    def report_symbolic( self ):
        """Print information about the symbolic object. Output depends on
        self.control[UMFPACK_PRL]."""
        self.funs.report_symbolic( self._symbolic, self.control )

    ##
    # 14.12.2005, c
    def report_numeric( self ):
        """Print information about the numeric object. Output depends on
        self.control[UMFPACK_PRL]."""
        self.funs.report_numeric( self._numeric, self.control )

    ##
    # 14.12.2005, c
    def report_control( self ):
        """Print control values."""
        self.funs.report_control( self.control )

    ##
    # 14.12.2005, c
    def report_info( self ):
        """Print all status information. Output depends on
        self.control[UMFPACK_PRL]."""
        self.funs.report_info( self.control, self.info )

    ##
    # 30.11.2005, c
    # 01.12.2005
    def free_symbolic( self ):
        if self._symbolic is not None:
            self.funs.free_symbolic( self._symbolic )
            self._symbolic = None
            self.mtx = None

    ##
    # 30.11.2005, c
    # 01.12.2005
    def free_numeric( self ):
        if self._numeric is not None:
            self.funs.free_numeric( self._numeric )
            self._numeric = None
            self.free_symbolic()

    ##
    # 30.11.2005, c
    def free( self ):
        self.free_symbolic()
        self.free_numeric()

    ##
    # 30.11.2005, c
    # 01.12.2005
    # 02.12.2005
    # 21.12.2005
    # 01.03.2006
    def solve( self, sys, mtx, rhs, autoTranspose = False ):
        """
        Solution of system of linear equation using the Numeric object.

        Arguments:
                sys - one of UMFPACK system description constants, like
                      UMFPACK_A, UMFPACK_At, see umfSys list and UMFPACK
                      docs
                mtx - sparse matrix (CSR or CSC)
                rhs - right hand side vector
                autoTranspose - automatically changes 'sys' to the
                      transposed type, if 'mtx' is in CSR, since UMFPACK
                      assumes CSC internally
        """
        if sys not in umfSys:
            raise ValueError('sys must be in' % umfSys)

        if autoTranspose and self.isCSR:
            ##
            # UMFPACK uses CSC internally...
            if self.family in umfRealTypes: ii = 0
            else: ii = 1
            if sys in umfSys_transposeMap[ii]:
                sys = umfSys_transposeMap[ii][sys]
            else:
                raise RuntimeError('autoTranspose ambiguous, switch it off')

        if self._numeric is not None:
            if self.mtx is not mtx:
                raise ValueError('must be called with same matrix as numeric()')
        else:
            raise RuntimeError('numeric() not called')

        indx = self._getIndx( mtx )

        if self.isReal:
            rhs = rhs.astype( np.float64 )
            sol = np.zeros( (mtx.shape[1],), dtype = np.float64 )
            status = self.funs.solve( sys, mtx.indptr, indx, mtx.data, sol, rhs,
                                      self._numeric, self.control, self.info )
        else:
            rhs = rhs.astype( np.complex128 )
            sol = np.zeros( (mtx.shape[1],), dtype = np.complex128 )
            mreal, mimag = mtx.data.real.copy(), mtx.data.imag.copy()
            sreal, simag = sol.real.copy(), sol.imag.copy()
            rreal, rimag = rhs.real.copy(), rhs.imag.copy()
            status = self.funs.solve( sys, mtx.indptr, indx,
                                      mreal, mimag, sreal, simag, rreal, rimag,
                                      self._numeric, self.control, self.info )
            sol.real, sol.imag = sreal, simag

        #self.funs.report_info( self.control, self.info )
        #pause()
        if status != UMFPACK_OK:
            if status == UMFPACK_WARNING_singular_matrix:
                ## Change inf, nan to zeros.
                print 'zeroing nan and inf entries...'
                sol[~np.isfinite( sol )] = 0.0
            else:
                raise RuntimeError('%s failed with %s' % (self.funs.solve,
                                                           umfStatus[status]))
        econd = 1.0 / self.info[UMFPACK_RCOND]
        if econd > self.maxCond:
            print 'warning: (almost) singular matrix! '\
                  + '(estimated cond. number: %.2e)' % econd

        return sol

    ##
    # 30.11.2005, c
    # 01.12.2005
    def linsolve( self, sys, mtx, rhs, autoTranspose = False ):
        """
        One-shot solution of system of linear equation. Reuses Numeric object
        if possible.

        Arguments:
                sys - one of UMFPACK system description constants, like
                      UMFPACK_A, UMFPACK_At, see umfSys list and UMFPACK
                      docs
                mtx - sparse matrix (CSR or CSC)
                rhs - right hand side vector
                autoTranspose - automatically changes 'sys' to the
                      transposed type, if 'mtx' is in CSR, since UMFPACK
                      assumes CSC internally
        """

#        print self.family
        if sys not in umfSys:
            raise ValueError('sys must be in' % umfSys)

        if self._numeric is None:
            self.numeric( mtx )
        else:
            if self.mtx is not mtx:
                self.numeric( mtx )

        sol = self.solve( sys, mtx, rhs, autoTranspose )
        self.free_numeric()

        return sol

    ##
    # 30.11.2005, c
    # 01.12.2005
    def __call__( self, sys, mtx, rhs, autoTranspose = False ):
        """
        Uses solve() or linsolve() depending on the presence of the Numeric
        object.

        Arguments:
                sys - one of UMFPACK system description constants, like
                      UMFPACK_A, UMFPACK_At, see umfSys list and UMFPACK
                      docs
                mtx - sparse matrix (CSR or CSC)
                rhs - right hand side vector
                autoTranspose - automatically changes 'sys' to the
                      transposed type, if 'mtx' is in CSR, since UMFPACK
                      assumes CSC internally
        """

        if self._numeric is not None:
            return self.solve( sys, mtx, rhs, autoTranspose )
        else:
            return self.linsolve( sys, mtx, rhs, autoTranspose )

    ##
    # 21.09.2006, added by Nathan Bell
    def lu( self, mtx ):
        """
        Returns an LU decomposition of an m-by-n matrix in the form
        (L, U, P, Q, R, do_recip):

            L - Lower triangular m-by-min(m,n) CSR matrix
            U - Upper triangular min(m,n)-by-n CSC matrix
            P - Vector of row permuations
            Q - Vector of column permuations
            R - Vector of diagonal row scalings
            do_recip - boolean

        For a given matrix A, the decomposition satisfies:
                LU = PRAQ        when do_recip is true
                LU = P(R^-1)AQ   when do_recip is false
        """

        #this should probably be changed
        mtx = mtx.tocsc()
        self.numeric( mtx )

        #first find out how much space to reserve
        (status, lnz, unz, n_row, n_col, nz_udiag)\
                 = self.funs.get_lunz( self._numeric )

        if status != UMFPACK_OK:
            raise RuntimeError('%s failed with %s' % (self.funs.get_lunz,
                                                       umfStatus[status]))

        #allocate storage for decomposition data
        i_type = mtx.indptr.dtype

        Lp = np.zeros( (n_row+1,), dtype = i_type )
        Lj = np.zeros( (lnz,), dtype = i_type )
        Lx = np.zeros( (lnz,), dtype = np.double )

        Up = np.zeros( (n_col+1,), dtype = i_type )
        Ui = np.zeros( (unz,), dtype = i_type )
        Ux = np.zeros( (unz,), dtype = np.double )

        P  = np.zeros( (n_row,), dtype = i_type )
        Q  = np.zeros( (n_col,), dtype = i_type )

        Dx = np.zeros( (min(n_row,n_col),), dtype = np.double )

        Rs = np.zeros( (n_row,), dtype = np.double )

        if self.isReal:
            (status,do_recip) = self.funs.get_numeric( Lp,Lj,Lx,Up,Ui,Ux,
                                                       P,Q,Dx,Rs,
                                                       self._numeric )

            if status != UMFPACK_OK:
                raise RuntimeError('%s failed with %s'
                        % (self.funs.get_numeric, umfStatus[status]))

            L = sp.csr_matrix((Lx,Lj,Lp),(n_row,min(n_row,n_col)))
            U = sp.csc_matrix((Ux,Ui,Up),(min(n_row,n_col),n_col))
            R = Rs

            return (L,U,P,Q,R,bool(do_recip))

        else:
            #allocate additional storage for imaginary parts
            Lz = np.zeros( (lnz,), dtype = np.double )
            Uz = np.zeros( (unz,), dtype = np.double )
            Dz = np.zeros( (min(n_row,n_col),), dtype = np.double )

            (status,do_recip) = self.funs.get_numeric(Lp,Lj,Lx,Lz,Up,Ui,Ux,Uz,
                                                      P,Q,Dx,Dz,Rs,
                                                      self._numeric)

            if status != UMFPACK_OK:
                raise RuntimeError('%s failed with %s'
                        % (self.funs.get_numeric, umfStatus[status]))


            Lxz = np.zeros( (lnz,), dtype = np.complex128 )
            Uxz = np.zeros( (unz,), dtype = np.complex128 )
            Dxz = np.zeros( (min(n_row,n_col),), dtype = np.complex128 )

            Lxz.real,Lxz.imag = Lx,Lz
            Uxz.real,Uxz.imag = Ux,Uz
            Dxz.real,Dxz.imag = Dx,Dz

            L = sp.csr_matrix((Lxz,Lj,Lp),(n_row,min(n_row,n_col)))
            U = sp.csc_matrix((Uxz,Ui,Up),(min(n_row,n_col),n_col))
            R = Rs

            return (L,U,P,Q,R,bool(do_recip))
