/*  -- translated by f2c (version 19940927).

   You must link the resulting object file with the libraries:

	-lf2c -lm   (in that order)

*/

#include "f2c.h"

/* Table of constant values */

static integer c__0 = 0;

static integer c__1 = 1;

/* Subroutine */ int zlatmr_(integer *m, integer *n, char *dist, integer *

	iseed, char *sym, doublecomplex *d, integer *mode, doublereal *cond, 

	doublecomplex *dmax__, char *rsign, char *grade, doublecomplex *dl, 

	integer *model, doublereal *condl, doublecomplex *dr, integer *moder, 

	doublereal *condr, char *pivtng, integer *ipivot, integer *kl, 

	integer *ku, doublereal *sparse, doublereal *anorm, char *pack, 

	doublecomplex *a, integer *lda, integer *iwork, integer *info)

{

    /* System generated locals */

    integer a_dim1, a_offset, i__1, i__2, i__3, i__4;

    doublereal d__1, d__2;

    doublecomplex z__1, z__2;

    /* Builtin functions */

    double z_abs(doublecomplex *);

    void d_cnjg(doublecomplex *, doublecomplex *);

    /* Local variables */

    static integer isub, jsub;

    static doublereal temp;

    static integer isym, i, j, k, ipack;

    extern logical lsame_(char *, char *);

    static doublereal tempa[1];

    static doublecomplex ctemp;

    static integer iisub, idist, jjsub, mnmin;

    static logical dzero;

    static integer mnsub;

    static doublereal onorm;

    static integer mxsub, npvts;

    extern /* Subroutine */ int zlatm1_(integer *, doublereal *, integer *, 

	    integer *, integer *, doublecomplex *, integer *, integer *);

    extern /* Double Complex */ VOID zlatm2_(doublecomplex *, integer *, 

	    integer *, integer *, integer *, integer *, integer *, integer *, 

	    integer *, doublecomplex *, integer *, doublecomplex *, 

	    doublecomplex *, integer *, integer *, doublereal *), zlatm3_(

	    doublecomplex *, integer *, integer *, integer *, integer *, 

	    integer *, integer *, integer *, integer *, integer *, integer *, 

	    doublecomplex *, integer *, doublecomplex *, doublecomplex *, 

	    integer *, integer *, doublereal *);

    static doublecomplex calpha;

    static integer igrade;

    static logical fulbnd;

    extern doublereal zlangb_(char *, integer *, integer *, integer *, 

	    doublecomplex *, integer *, doublereal *);

    extern /* Subroutine */ int xerbla_(char *, integer *);

    static logical badpvt;

    extern doublereal zlange_(char *, integer *, integer *, doublecomplex *, 

	    integer *, doublereal *);

    extern /* Subroutine */ int zdscal_(integer *, doublereal *, 

	    doublecomplex *, integer *);

    extern doublereal zlansb_(char *, char *, integer *, integer *, 

	    doublecomplex *, integer *, doublereal *);

    static integer irsign, ipvtng;

    extern doublereal zlansp_(char *, char *, integer *, doublecomplex *, 

	    doublereal *), zlansy_(char *, char *, integer *, 

	    doublecomplex *, integer *, doublereal *);

    static integer kll, kuu;

/*  -- LAPACK test routine (version 2.0) --   

       Univ. of Tennessee, Univ. of California Berkeley, NAG Ltd.,   

       Courant Institute, Argonne National Lab, and Rice University   

       February 29, 1992   

    Purpose   

    =======   

       ZLATMR generates random matrices of various types for testing   

       LAPACK programs.   

       ZLATMR operates by applying the following sequence of   

       operations:   

         Generate a matrix A with random entries of distribution DIST   

            which is symmetric if SYM='S', Hermitian if SYM='H', and   

            nonsymmetric if SYM='N'.   

         Set the diagonal to D, where D may be input or   

            computed according to MODE, COND, DMAX and RSIGN   

            as described below.   

         Grade the matrix, if desired, from the left and/or right   

            as specified by GRADE. The inputs DL, MODEL, CONDL, DR,   

            MODER and CONDR also determine the grading as described   

            below.   

         Permute, if desired, the rows and/or columns as specified by   

            PIVTNG and IPIVOT.   

         Set random entries to zero, if desired, to get a random sparse   

            matrix as specified by SPARSE.   

         Make A a band matrix, if desired, by zeroing out the matrix   

            outside a band of lower bandwidth KL and upper bandwidth KU. 

         Scale A, if desired, to have maximum entry ANORM.   

         Pack the matrix if desired. Options specified by PACK are:   

            no packing   

            zero out upper half (if symmetric or Hermitian)   

            zero out lower half (if symmetric or Hermitian)   

            store the upper half columnwise (if symmetric or Hermitian   

                or square upper triangular)   

            store the lower half columnwise (if symmetric or Hermitian   

                or square lower triangular)   

                same as upper half rowwise if symmetric   

                same as conjugate upper half rowwise if Hermitian   

            store the lower triangle in banded format   

                (if symmetric or Hermitian)   

            store the upper triangle in banded format   

                (if symmetric or Hermitian)   

            store the entire matrix in banded format   

       Note: If two calls to ZLATMR differ only in the PACK parameter,   

             they will generate mathematically equivalent matrices.   

             If two calls to ZLATMR both have full bandwidth (KL = M-1   

             and KU = N-1), and differ only in the PIVTNG and PACK   

             parameters, then the matrices generated will differ only   

             in the order of the rows and/or columns, and otherwise   

             contain the same data. This consistency cannot be and   

             is not maintained with less than full bandwidth.   

    Arguments   

    =========   

    M      - INTEGER   

             Number of rows of A. Not modified.   

    N      - INTEGER   

             Number of columns of A. Not modified.   

    DIST   - CHARACTER*1   

             On entry, DIST specifies the type of distribution to be used 

             to generate a random matrix .   

             'U' => real and imaginary parts are independent   

                    UNIFORM( 0, 1 )  ( 'U' for uniform )   

             'S' => real and imaginary parts are independent   

                    UNIFORM( -1, 1 ) ( 'S' for symmetric )   

             'N' => real and imaginary parts are independent   

                    NORMAL( 0, 1 )   ( 'N' for normal )   

             'D' => uniform on interior of unit disk ( 'D' for disk )   

             Not modified.   

    ISEED  - INTEGER array, dimension (4)   

             On entry ISEED specifies the seed of the random number   

             generator. They should lie between 0 and 4095 inclusive,   

             and ISEED(4) should be odd. The random number generator   

             uses a linear congruential sequence limited to small   

             integers, and so should produce machine independent   

             random numbers. The values of ISEED are changed on   

             exit, and can be used in the next call to ZLATMR   

             to continue the same random number sequence.   

             Changed on exit.   

    SYM    - CHARACTER*1   

             If SYM='S', generated matrix is symmetric.   

             If SYM='H', generated matrix is Hermitian.   

             If SYM='N', generated matrix is nonsymmetric.   

             Not modified.   

    D      - COMPLEX*16 array, dimension (min(M,N))   

             On entry this array specifies the diagonal entries   

             of the diagonal of A.  D may either be specified   

             on entry, or set according to MODE and COND as described   

             below. If the matrix is Hermitian, the real part of D   

             will be taken. May be changed on exit if MODE is nonzero.   

    MODE   - INTEGER   

             On entry describes how D is to be used:   

             MODE = 0 means use D as input   

             MODE = 1 sets D(1)=1 and D(2:N)=1.0/COND   

             MODE = 2 sets D(1:N-1)=1 and D(N)=1.0/COND   

             MODE = 3 sets D(I)=COND**(-(I-1)/(N-1))   

             MODE = 4 sets D(i)=1 - (i-1)/(N-1)*(1 - 1/COND)   

             MODE = 5 sets D to random numbers in the range   

                      ( 1/COND , 1 ) such that their logarithms   

                      are uniformly distributed.   

             MODE = 6 set D to random numbers from same distribution   

                      as the rest of the matrix.   

             MODE < 0 has the same meaning as ABS(MODE), except that   

                the order of the elements of D is reversed.   

             Thus if MODE is positive, D has entries ranging from   

                1 to 1/COND, if negative, from 1/COND to 1,   

             Not modified.   

    COND   - DOUBLE PRECISION   

             On entry, used as described under MODE above.   

             If used, it must be >= 1. Not modified.   

    DMAX   - COMPLEX*16   

             If MODE neither -6, 0 nor 6, the diagonal is scaled by   

             DMAX / max(abs(D(i))), so that maximum absolute entry   

             of diagonal is abs(DMAX). If DMAX is complex (or zero),   

             diagonal will be scaled by a complex number (or zero).   

    RSIGN  - CHARACTER*1   

             If MODE neither -6, 0 nor 6, specifies sign of diagonal   

             as follows:   

             'T' => diagonal entries are multiplied by a random complex   

                    number uniformly distributed with absolute value 1   

             'F' => diagonal unchanged   

             Not modified.   

    GRADE  - CHARACTER*1   

             Specifies grading of matrix as follows:   

             'N'  => no grading   

             'L'  => matrix premultiplied by diag( DL )   

                     (only if matrix nonsymmetric)   

             'R'  => matrix postmultiplied by diag( DR )   

                     (only if matrix nonsymmetric)   

             'B'  => matrix premultiplied by diag( DL ) and   

                           postmultiplied by diag( DR )   

                     (only if matrix nonsymmetric)   

             'H'  => matrix premultiplied by diag( DL ) and   

                           postmultiplied by diag( CONJG(DL) )   

                     (only if matrix Hermitian or nonsymmetric)   

             'S'  => matrix premultiplied by diag( DL ) and   

                           postmultiplied by diag( DL )   

                     (only if matrix symmetric or nonsymmetric)   

             'E'  => matrix premultiplied by diag( DL ) and   

                           postmultiplied by inv( diag( DL ) )   

                           ( 'S' for similarity )   

                     (only if matrix nonsymmetric)   

                     Note: if GRADE='S', then M must equal N.   

             Not modified.   

    DL     - COMPLEX*16 array, dimension (M)   

             If MODEL=0, then on entry this array specifies the diagonal 

             entries of a diagonal matrix used as described under GRADE   

             above. If MODEL is not zero, then DL will be set according   

             to MODEL and CONDL, analogous to the way D is set according 

             to MODE and COND (except there is no DMAX parameter for DL). 

             If GRADE='E', then DL cannot have zero entries.   

             Not referenced if GRADE = 'N' or 'R'. Changed on exit.   

    MODEL  - INTEGER   

             This specifies how the diagonal array DL is to be computed, 

             just as MODE specifies how D is to be computed.   

             Not modified.   

    CONDL  - DOUBLE PRECISION   

             When MODEL is not zero, this specifies the condition number 

             of the computed DL.  Not modified.   

    DR     - COMPLEX*16 array, dimension (N)   

             If MODER=0, then on entry this array specifies the diagonal 

             entries of a diagonal matrix used as described under GRADE   

             above. If MODER is not zero, then DR will be set according   

             to MODER and CONDR, analogous to the way D is set according 

             to MODE and COND (except there is no DMAX parameter for DR). 

             Not referenced if GRADE = 'N', 'L', 'H' or 'S'.   

             Changed on exit.   

    MODER  - INTEGER   

             This specifies how the diagonal array DR is to be computed, 

             just as MODE specifies how D is to be computed.   

             Not modified.   

    CONDR  - DOUBLE PRECISION   

             When MODER is not zero, this specifies the condition number 

             of the computed DR.  Not modified.   

    PIVTNG - CHARACTER*1   

             On entry specifies pivoting permutations as follows:   

             'N' or ' ' => none.   

             'L' => left or row pivoting (matrix must be nonsymmetric).   

             'R' => right or column pivoting (matrix must be   

                    nonsymmetric).   

             'B' or 'F' => both or full pivoting, i.e., on both sides.   

                           In this case, M must equal N   

             If two calls to ZLATMR both have full bandwidth (KL = M-1   

             and KU = N-1), and differ only in the PIVTNG and PACK   

             parameters, then the matrices generated will differ only   

             in the order of the rows and/or columns, and otherwise   

             contain the same data. This consistency cannot be   

             maintained with less than full bandwidth.   

    IPIVOT - INTEGER array, dimension (N or M)   

             This array specifies the permutation used.  After the   

             basic matrix is generated, the rows, columns, or both   

             are permuted.   If, say, row pivoting is selected, ZLATMR   

             starts with the *last* row and interchanges the M-th and   

             IPIVOT(M)-th rows, then moves to the next-to-last row,   

             interchanging the (M-1)-th and the IPIVOT(M-1)-th rows,   

             and so on.  In terms of "2-cycles", the permutation is   

             (1 IPIVOT(1)) (2 IPIVOT(2)) ... (M IPIVOT(M))   

             where the rightmost cycle is applied first.  This is the   

             *inverse* of the effect of pivoting in LINPACK.  The idea   

             is that factoring (with pivoting) an identity matrix   

             which has been inverse-pivoted in this way should   

             result in a pivot vector identical to IPIVOT.   

             Not referenced if PIVTNG = 'N'. Not modified.   

    SPARSE - DOUBLE PRECISION   

             On entry specifies the sparsity of the matrix if a sparse   

             matrix is to be generated. SPARSE should lie between   

             0 and 1. To generate a sparse matrix, for each matrix entry 

             a uniform ( 0, 1 ) random number x is generated and   

             compared to SPARSE; if x is larger the matrix entry   

             is unchanged and if x is smaller the entry is set   

             to zero. Thus on the average a fraction SPARSE of the   

             entries will be set to zero.   

             Not modified.   

    KL     - INTEGER   

             On entry specifies the lower bandwidth of the  matrix. For   

             example, KL=0 implies upper triangular, KL=1 implies upper   

             Hessenberg, and KL at least M-1 implies the matrix is not   

             banded. Must equal KU if matrix is symmetric or Hermitian.   

             Not modified.   

    KU     - INTEGER   

             On entry specifies the upper bandwidth of the  matrix. For   

             example, KU=0 implies lower triangular, KU=1 implies lower   

             Hessenberg, and KU at least N-1 implies the matrix is not   

             banded. Must equal KL if matrix is symmetric or Hermitian.   

             Not modified.   

    ANORM  - DOUBLE PRECISION   

             On entry specifies maximum entry of output matrix   

             (output matrix will by multiplied by a constant so that   

             its largest absolute entry equal ANORM)   

             if ANORM is nonnegative. If ANORM is negative no scaling   

             is done. Not modified.   

    PACK   - CHARACTER*1   

             On entry specifies packing of matrix as follows:   

             'N' => no packing   

             'U' => zero out all subdiagonal entries   

                    (if symmetric or Hermitian)   

             'L' => zero out all superdiagonal entries   

                    (if symmetric or Hermitian)   

             'C' => store the upper triangle columnwise   

                    (only if matrix symmetric or Hermitian or   

                     square upper triangular)   

             'R' => store the lower triangle columnwise   

                    (only if matrix symmetric or Hermitian or   

                     square lower triangular)   

                    (same as upper half rowwise if symmetric)   

                    (same as conjugate upper half rowwise if Hermitian)   

             'B' => store the lower triangle in band storage scheme   

                    (only if matrix symmetric or Hermitian)   

             'Q' => store the upper triangle in band storage scheme   

                    (only if matrix symmetric or Hermitian)   

             'Z' => store the entire matrix in band storage scheme   

                        (pivoting can be provided for by using this   

                        option to store A in the trailing rows of   

                        the allocated storage)   

             Using these options, the various LAPACK packed and banded   

             storage schemes can be obtained:   

             GB               - use 'Z'   

             PB, HB or TB     - use 'B' or 'Q'   

             PP, HP or TP     - use 'C' or 'R'   

             If two calls to ZLATMR differ only in the PACK parameter,   

             they will generate mathematically equivalent matrices.   

             Not modified.   

    A      - COMPLEX*16 array, dimension (LDA,N)   

             On exit A is the desired test matrix. Only those   

             entries of A which are significant on output   

             will be referenced (even if A is in packed or band   

             storage format). The 'unoccupied corners' of A in   

             band format will be zeroed out.   

    LDA    - INTEGER   

             on entry LDA specifies the first dimension of A as   

             declared in the calling program.   

             If PACK='N', 'U' or 'L', LDA must be at least max ( 1, M ). 

             If PACK='C' or 'R', LDA must be at least 1.   

             If PACK='B', or 'Q', LDA must be MIN ( KU+1, N )   

             If PACK='Z', LDA must be at least KUU+KLL+1, where   

             KUU = MIN ( KU, N-1 ) and KLL = MIN ( KL, N-1 )   

             Not modified.   

    IWORK  - INTEGER array, dimension (N or M)   

             Workspace. Not referenced if PIVTNG = 'N'. Changed on exit. 

    INFO   - INTEGER   

             Error parameter on exit:   

               0 => normal return   

              -1 => M negative or unequal to N and SYM='S' or 'H'   

              -2 => N negative   

              -3 => DIST illegal string   

              -5 => SYM illegal string   

              -7 => MODE not in range -6 to 6   

              -8 => COND less than 1.0, and MODE neither -6, 0 nor 6   

             -10 => MODE neither -6, 0 nor 6 and RSIGN illegal string   

             -11 => GRADE illegal string, or GRADE='E' and   

                    M not equal to N, or GRADE='L', 'R', 'B', 'S' or 'E' 

                    and SYM = 'H', or GRADE='L', 'R', 'B', 'H' or 'E'   

                    and SYM = 'S'   

             -12 => GRADE = 'E' and DL contains zero   

             -13 => MODEL not in range -6 to 6 and GRADE= 'L', 'B', 'H', 

                    'S' or 'E'   

             -14 => CONDL less than 1.0, GRADE='L', 'B', 'H', 'S' or 'E', 

                    and MODEL neither -6, 0 nor 6   

             -16 => MODER not in range -6 to 6 and GRADE= 'R' or 'B'   

             -17 => CONDR less than 1.0, GRADE='R' or 'B', and   

                    MODER neither -6, 0 nor 6   

             -18 => PIVTNG illegal string, or PIVTNG='B' or 'F' and   

                    M not equal to N, or PIVTNG='L' or 'R' and SYM='S'   

                    or 'H'   

             -19 => IPIVOT contains out of range number and   

                    PIVTNG not equal to 'N'   

             -20 => KL negative   

             -21 => KU negative, or SYM='S' or 'H' and KU not equal to KL 

             -22 => SPARSE not in range 0. to 1.   

             -24 => PACK illegal string, or PACK='U', 'L', 'B' or 'Q'   

                    and SYM='N', or PACK='C' and SYM='N' and either KL   

                    not equal to 0 or N not equal to M, or PACK='R' and   

                    SYM='N', and either KU not equal to 0 or N not equal 

                    to M   

             -26 => LDA too small   

               1 => Error return from ZLATM1 (computing D)   

               2 => Cannot scale diagonal to DMAX (max. entry is 0)   

               3 => Error return from ZLATM1 (computing DL)   

               4 => Error return from ZLATM1 (computing DR)   

               5 => ANORM is positive, but matrix constructed prior to   

                    attempting to scale it to have norm ANORM, is zero   

    ===================================================================== 

       1)      Decode and Test the input parameters.   

               Initialize flags & seed.   

       Parameter adjustments */

    --iseed;

    --d;

    --dl;

    --dr;

    --ipivot;

    a_dim1 = *lda;

    a_offset = a_dim1 + 1;

    a -= a_offset;

    --iwork;

    /* Function Body */

    *info = 0;

/*     Quick return if possible */

    if (*m == 0 || *n == 0) {

	return 0;

    }

/*     Decode DIST */

    if (lsame_(dist, "U")) {

	idist = 1;

    } else if (lsame_(dist, "S")) {

	idist = 2;

    } else if (lsame_(dist, "N")) {

	idist = 3;

    } else if (lsame_(dist, "D")) {

	idist = 4;

    } else {

	idist = -1;

    }

/*     Decode SYM */

    if (lsame_(sym, "H")) {

	isym = 0;

    } else if (lsame_(sym, "N")) {

	isym = 1;

    } else if (lsame_(sym, "S")) {

	isym = 2;

    } else {

	isym = -1;

    }

/*     Decode RSIGN */

    if (lsame_(rsign, "F")) {

	irsign = 0;

    } else if (lsame_(rsign, "T")) {

	irsign = 1;

    } else {

	irsign = -1;

    }

/*     Decode PIVTNG */

    if (lsame_(pivtng, "N")) {

	ipvtng = 0;

    } else if (lsame_(pivtng, " ")) {

	ipvtng = 0;

    } else if (lsame_(pivtng, "L")) {

	ipvtng = 1;

	npvts = *m;

    } else if (lsame_(pivtng, "R")) {

	ipvtng = 2;

	npvts = *n;

    } else if (lsame_(pivtng, "B")) {

	ipvtng = 3;

	npvts = min(*n,*m);

    } else if (lsame_(pivtng, "F")) {

	ipvtng = 3;

	npvts = min(*n,*m);

    } else {

	ipvtng = -1;

    }

/*     Decode GRADE */

    if (lsame_(grade, "N")) {

	igrade = 0;

    } else if (lsame_(grade, "L")) {

	igrade = 1;

    } else if (lsame_(grade, "R")) {

	igrade = 2;

    } else if (lsame_(grade, "B")) {

	igrade = 3;

    } else if (lsame_(grade, "E")) {

	igrade = 4;

    } else if (lsame_(grade, "H")) {

	igrade = 5;

    } else if (lsame_(grade, "S")) {

	igrade = 6;

    } else {

	igrade = -1;

    }

/*     Decode PACK */

    if (lsame_(pack, "N")) {

	ipack = 0;

    } else if (lsame_(pack, "U")) {

	ipack = 1;

    } else if (lsame_(pack, "L")) {

	ipack = 2;

    } else if (lsame_(pack, "C")) {

	ipack = 3;

    } else if (lsame_(pack, "R")) {

	ipack = 4;

    } else if (lsame_(pack, "B")) {

	ipack = 5;

    } else if (lsame_(pack, "Q")) {

	ipack = 6;

    } else if (lsame_(pack, "Z")) {

	ipack = 7;

    } else {

	ipack = -1;

    }

/*     Set certain internal parameters */

    mnmin = min(*m,*n);

/* Computing MIN */

    i__1 = *kl, i__2 = *m - 1;

    kll = min(i__1,i__2);

/* Computing MIN */

    i__1 = *ku, i__2 = *n - 1;

    kuu = min(i__1,i__2);

/*     If inv(DL) is used, check to see if DL has a zero entry. */

    dzero = FALSE_;

    if (igrade == 4 && *model == 0) {

	i__1 = *m;

	for (i = 1; i <= i__1; ++i) {

	    i__2 = i;

	    if (dl[i__2].r == 0. && dl[i__2].i == 0.) {

		dzero = TRUE_;

	    }

/* L10: */

	}

    }

/*     Check values in IPIVOT */

    badpvt = FALSE_;

    if (ipvtng > 0) {

	i__1 = npvts;

	for (j = 1; j <= i__1; ++j) {

	    if (ipivot[j] <= 0 || ipivot[j] > npvts) {

		badpvt = TRUE_;

	    }

/* L20: */

	}

    }

/*     Set INFO if an error */

    if (*m < 0) {

	*info = -1;

    } else if (*m != *n && (isym == 0 || isym == 2)) {

	*info = -1;

    } else if (*n < 0) {

	*info = -2;

    } else if (idist == -1) {

	*info = -3;

    } else if (isym == -1) {

	*info = -5;

    } else if (*mode < -6 || *mode > 6) {

	*info = -7;

    } else if (*mode != -6 && *mode != 0 && *mode != 6 && *cond < 1.) {

	*info = -8;

    } else if (*mode != -6 && *mode != 0 && *mode != 6 && irsign == -1) {

	*info = -10;

    } else if (igrade == -1 || igrade == 4 && *m != *n || (igrade == 1 || 

	    igrade == 2 || igrade == 3 || igrade == 4 || igrade == 6) && isym 

	    == 0 || (igrade == 1 || igrade == 2 || igrade == 3 || igrade == 4 

	    || igrade == 5) && isym == 2) {

	*info = -11;

    } else if (igrade == 4 && dzero) {

	*info = -12;

    } else if ((igrade == 1 || igrade == 3 || igrade == 4 || igrade == 5 || 

	    igrade == 6) && (*model < -6 || *model > 6)) {

	*info = -13;

    } else if ((igrade == 1 || igrade == 3 || igrade == 4 || igrade == 5 || 

	    igrade == 6) && (*model != -6 && *model != 0 && *model != 6) && *

	    condl < 1.) {

	*info = -14;

    } else if ((igrade == 2 || igrade == 3) && (*moder < -6 || *moder > 6)) {

	*info = -16;

    } else if ((igrade == 2 || igrade == 3) && (*moder != -6 && *moder != 0 &&

	     *moder != 6) && *condr < 1.) {

	*info = -17;

    } else if (ipvtng == -1 || ipvtng == 3 && *m != *n || (ipvtng == 1 || 

	    ipvtng == 2) && (isym == 0 || isym == 2)) {

	*info = -18;

    } else if (ipvtng != 0 && badpvt) {

	*info = -19;

    } else if (*kl < 0) {

	*info = -20;

    } else if (*ku < 0 || (isym == 0 || isym == 2) && *kl != *ku) {

	*info = -21;

    } else if (*sparse < 0. || *sparse > 1.) {

	*info = -22;

    } else if (ipack == -1 || (ipack == 1 || ipack == 2 || ipack == 5 || 

	    ipack == 6) && isym == 1 || ipack == 3 && isym == 1 && (*kl != 0 

	    || *m != *n) || ipack == 4 && isym == 1 && (*ku != 0 || *m != *n))

	     {

	*info = -24;

    } else if ((ipack == 0 || ipack == 1 || ipack == 2) && *lda < max(1,*m) ||

	     (ipack == 3 || ipack == 4) && *lda < 1 || (ipack == 5 || ipack ==

	     6) && *lda < kuu + 1 || ipack == 7 && *lda < kll + kuu + 1) {

	*info = -26;

    }

    if (*info != 0) {

	i__1 = -(*info);

	xerbla_("ZLATMR", &i__1);

	return 0;

    }

/*     Decide if we can pivot consistently */

    fulbnd = FALSE_;

    if (kuu == *n - 1 && kll == *m - 1) {

	fulbnd = TRUE_;

    }

/*     Initialize random number generator */

    for (i = 1; i <= 4; ++i) {

	iseed[i] = (i__1 = iseed[i], abs(i__1)) % 4096;

/* L30: */

    }

    iseed[4] = (iseed[4] / 2 << 1) + 1;

/*     2)      Set up D, DL, and DR, if indicated.   

               Compute D according to COND and MODE */

    zlatm1_(mode, cond, &irsign, &idist, &iseed[1], &d[1], &mnmin, info);

    if (*info != 0) {

	*info = 1;

	return 0;

    }

    if (*mode != 0 && *mode != -6 && *mode != 6) {

/*        Scale by DMAX */

	temp = z_abs(&d[1]);

	i__1 = mnmin;

	for (i = 2; i <= i__1; ++i) {

/* Computing MAX */

	    d__1 = temp, d__2 = z_abs(&d[i]);

	    temp = max(d__1,d__2);

/* L40: */

	}

	if (temp == 0. && (dmax__->r != 0. || dmax__->i != 0.)) {

	    *info = 2;

	    return 0;

	}

	if (temp != 0.) {

	    z__1.r = dmax__->r / temp, z__1.i = dmax__->i / temp;

	    calpha.r = z__1.r, calpha.i = z__1.i;

	} else {

	    calpha.r = 1., calpha.i = 0.;

	}

	i__1 = mnmin;

	for (i = 1; i <= i__1; ++i) {

	    i__2 = i;

	    i__3 = i;

	    z__1.r = calpha.r * d[i__3].r - calpha.i * d[i__3].i, z__1.i = 

		    calpha.r * d[i__3].i + calpha.i * d[i__3].r;

	    d[i__2].r = z__1.r, d[i__2].i = z__1.i;

/* L50: */

	}

    }

/*     If matrix Hermitian, make D real */

    if (isym == 0) {

	i__1 = mnmin;

	for (i = 1; i <= i__1; ++i) {

	    i__2 = i;

	    i__3 = i;

	    d__1 = d[i__3].r;

	    d[i__2].r = d__1, d[i__2].i = 0.;

/* L60: */

	}

    }

/*     Compute DL if grading set */

    if (igrade == 1 || igrade == 3 || igrade == 4 || igrade == 5 || igrade == 

	    6) {

	zlatm1_(model, condl, &c__0, &idist, &iseed[1], &dl[1], m, info);

	if (*info != 0) {

	    *info = 3;

	    return 0;

	}

    }

/*     Compute DR if grading set */

    if (igrade == 2 || igrade == 3) {

	zlatm1_(moder, condr, &c__0, &idist, &iseed[1], &dr[1], n, info);

	if (*info != 0) {

	    *info = 4;

	    return 0;

	}

    }

/*     3)     Generate IWORK if pivoting */

    if (ipvtng > 0) {

	i__1 = npvts;

	for (i = 1; i <= i__1; ++i) {

	    iwork[i] = i;

/* L70: */

	}

	if (fulbnd) {

	    i__1 = npvts;

	    for (i = 1; i <= i__1; ++i) {

		k = ipivot[i];

		j = iwork[i];

		iwork[i] = iwork[k];

		iwork[k] = j;

/* L80: */

	    }

	} else {

	    for (i = npvts; i >= 1; --i) {

		k = ipivot[i];

		j = iwork[i];

		iwork[i] = iwork[k];

		iwork[k] = j;

/* L90: */

	    }

	}

    }

/*     4)      Generate matrices for each kind of PACKing   

               Always sweep matrix columnwise (if symmetric, upper   

               half only) so that matrix generated does not depend   

               on PACK */

    if (fulbnd) {

/*        Use ZLATM3 so matrices generated with differing PIVOTing onl

y   

          differ only in the order of their rows and/or columns. */

	if (ipack == 0) {

	    if (isym == 0) {

		i__1 = *n;

		for (j = 1; j <= i__1; ++j) {

		    i__2 = j;

		    for (i = 1; i <= i__2; ++i) {

			zlatm3_(&z__1, m, n, &i, &j, &isub, &jsub, kl, ku, &

				idist, &iseed[1], &d[1], &igrade, &dl[1], &dr[

				1], &ipvtng, &iwork[1], sparse);

			ctemp.r = z__1.r, ctemp.i = z__1.i;

			i__3 = isub + jsub * a_dim1;

			a[i__3].r = ctemp.r, a[i__3].i = ctemp.i;

			i__3 = jsub + isub * a_dim1;

			d_cnjg(&z__1, &ctemp);

			a[i__3].r = z__1.r, a[i__3].i = z__1.i;

/* L100: */

		    }

/* L110: */

		}

	    } else if (isym == 1) {

		i__1 = *n;

		for (j = 1; j <= i__1; ++j) {

		    i__2 = *m;

		    for (i = 1; i <= i__2; ++i) {

			zlatm3_(&z__1, m, n, &i, &j, &isub, &jsub, kl, ku, &

				idist, &iseed[1], &d[1], &igrade, &dl[1], &dr[

				1], &ipvtng, &iwork[1], sparse);

			ctemp.r = z__1.r, ctemp.i = z__1.i;

			i__3 = isub + jsub * a_dim1;

			a[i__3].r = ctemp.r, a[i__3].i = ctemp.i;

/* L120: */

		    }

/* L130: */

		}

	    } else if (isym == 2) {

		i__1 = *n;

		for (j = 1; j <= i__1; ++j) {

		    i__2 = j;

		    for (i = 1; i <= i__2; ++i) {

			zlatm3_(&z__1, m, n, &i, &j, &isub, &jsub, kl, ku, &

				idist, &iseed[1], &d[1], &igrade, &dl[1], &dr[

				1], &ipvtng, &iwork[1], sparse);

			ctemp.r = z__1.r, ctemp.i = z__1.i;

			i__3 = isub + jsub * a_dim1;

			a[i__3].r = ctemp.r, a[i__3].i = ctemp.i;

			i__3 = jsub + isub * a_dim1;

			a[i__3].r = ctemp.r, a[i__3].i = ctemp.i;

/* L140: */

		    }

/* L150: */

		}

	    }

	} else if (ipack == 1) {

	    i__1 = *n;

	    for (j = 1; j <= i__1; ++j) {

		i__2 = j;

		for (i = 1; i <= i__2; ++i) {

		    zlatm3_(&z__1, m, n, &i, &j, &isub, &jsub, kl, ku, &idist,