#include "blaswrap.h"
/*  -- translated by f2c (version 19990503).
   You must link the resulting object file with the libraries:
	-lf2c -lm   (in that order)
*/

#include "f2c.h"

/* Table of constant values */

static doublecomplex c_b1 = {0.,0.};
static integer c__1 = 1;
static integer c_n1 = -1;
static integer c__2 = 2;
static doublereal c_b29 = 1.;
static integer c__3 = 3;
static integer c__4 = 4;
static integer c__0 = 0;

/* Subroutine */ int zdrges_(integer *nsizes, integer *nn, integer *ntypes, 
	logical *dotype, integer *iseed, doublereal *thresh, integer *nounit, 
	doublecomplex *a, integer *lda, doublecomplex *b, doublecomplex *s, 
	doublecomplex *t, doublecomplex *q, integer *ldq, doublecomplex *z__, 
	doublecomplex *alpha, doublecomplex *beta, doublecomplex *work, 
	integer *lwork, doublereal *rwork, doublereal *result, logical *bwork,
	 integer *info)
{
    /* Initialized data */

    static integer kclass[26] = { 1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,2,2,2,2,2,2,2,
	    2,2,2,3 };
    static integer kbmagn[26] = { 1,1,1,1,1,1,1,1,3,2,3,2,2,3,1,1,1,1,1,1,1,3,
	    2,3,2,1 };
    static integer ktrian[26] = { 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,
	    1,1,1,1 };
    static logical lasign[26] = { FALSE_,FALSE_,FALSE_,FALSE_,FALSE_,FALSE_,
	    TRUE_,FALSE_,TRUE_,TRUE_,FALSE_,FALSE_,TRUE_,TRUE_,TRUE_,FALSE_,
	    TRUE_,FALSE_,FALSE_,FALSE_,TRUE_,TRUE_,TRUE_,TRUE_,TRUE_,FALSE_ };
    static logical lbsign[26] = { FALSE_,FALSE_,FALSE_,FALSE_,FALSE_,FALSE_,
	    FALSE_,TRUE_,FALSE_,FALSE_,TRUE_,TRUE_,FALSE_,FALSE_,TRUE_,FALSE_,
	    TRUE_,FALSE_,FALSE_,FALSE_,FALSE_,FALSE_,FALSE_,FALSE_,FALSE_,
	    FALSE_ };
    static integer kz1[6] = { 0,1,2,1,3,3 };
    static integer kz2[6] = { 0,0,1,2,1,1 };
    static integer kadd[6] = { 0,0,0,0,3,2 };
    static integer katype[26] = { 0,1,0,1,2,3,4,1,4,4,1,1,4,4,4,2,4,5,8,7,9,4,
	    4,4,4,0 };
    static integer kbtype[26] = { 0,0,1,1,2,-3,1,4,1,1,4,4,1,1,-4,2,-4,8,8,8,
	    8,8,8,8,8,0 };
    static integer kazero[26] = { 1,1,1,1,1,1,2,1,2,2,1,1,2,2,3,1,3,5,5,5,5,3,
	    3,3,3,1 };
    static integer kbzero[26] = { 1,1,1,1,1,1,1,2,1,1,2,2,1,1,4,1,4,6,6,6,6,4,
	    4,4,4,1 };
    static integer kamagn[26] = { 1,1,1,1,1,1,1,1,2,3,2,3,2,3,1,1,1,1,1,1,1,2,
	    3,3,2,1 };

    /* Format strings */
    static char fmt_9999[] = "(\002 ZDRGES: \002,a,\002 returned INFO=\002,i"
	    "6,\002.\002,/9x,\002N=\002,i6,\002, JTYPE=\002,i6,\002, ISEED="
	    "(\002,4(i4,\002,\002),i5,\002)\002)";
    static char fmt_9998[] = "(\002 ZDRGES: S not in Schur form at eigenvalu"
	    "e \002,i6,\002.\002,/9x,\002N=\002,i6,\002, JTYPE=\002,i6,\002, "
	    "ISEED=(\002,3(i5,\002,\002),i5,\002)\002)";
    static char fmt_9997[] = "(/1x,a3,\002 -- Complex Generalized Schur from"
	    " problem \002,\002driver\002)";
    static char fmt_9996[] = "(\002 Matrix types (see ZDRGES for details):"
	    " \002)";
    static char fmt_9995[] = "(\002 Special Matrices:\002,23x,\002(J'=transp"
	    "osed Jordan block)\002,/\002   1=(0,0)  2=(I,0)  3=(0,I)  4=(I,I"
	    ")  5=(J',J')  \002,\0026=(diag(J',I), diag(I,J'))\002,/\002 Diag"
	    "onal Matrices:  ( \002,\002D=diag(0,1,2,...) )\002,/\002   7=(D,"
	    "I)   9=(large*D, small*I\002,\002)  11=(large*I, small*D)  13=(l"
	    "arge*D, large*I)\002,/\002   8=(I,D)  10=(small*D, large*I)  12="
	    "(small*I, large*D) \002,\002 14=(small*D, small*I)\002,/\002  15"
	    "=(D, reversed D)\002)";
    static char fmt_9994[] = "(\002 Matrices Rotated by Random \002,a,\002 M"
	    "atrices U, V:\002,/\002  16=Transposed Jordan Blocks            "
	    " 19=geometric \002,\002alpha, beta=0,1\002,/\002  17=arithm. alp"
	    "ha&beta             \002,\002      20=arithmetic alpha, beta=0,"
	    "1\002,/\002  18=clustered \002,\002alpha, beta=0,1            21"
	    "=random alpha, beta=0,1\002,/\002 Large & Small Matrices:\002,"
	    "/\002  22=(large, small)   \002,\00223=(small,large)    24=(smal"
	    "l,small)    25=(large,large)\002,/\002  26=random O(1) matrices"
	    ".\002)";
    static char fmt_9993[] = "(/\002 Tests performed:  (S is Schur, T is tri"
	    "angular, \002,\002Q and Z are \002,a,\002,\002,/19x,\002l and r "
	    "are the appropriate left and right\002,/19x,\002eigenvectors, re"
	    "sp., a is alpha, b is beta, and\002,/19x,a,\002 means \002,a,"
	    "\002.)\002,/\002 Without ordering: \002,/\002  1 = | A - Q S "
	    "Z\002,a,\002 | / ( |A| n ulp )      2 = | B - Q T Z\002,a,\002 |"
	    " / ( |B| n ulp )\002,/\002  3 = | I - QQ\002,a,\002 | / ( n ulp "
	    ")             4 = | I - ZZ\002,a,\002 | / ( n ulp )\002,/\002  5"
	    " = A is in Schur form S\002,/\002  6 = difference between (alpha"
	    ",beta)\002,\002 and diagonals of (S,T)\002,/\002 With ordering:"
	    " \002,/\002  7 = | (A,B) - Q (S,T) Z\002,a,\002 | / ( |(A,B)| n "
	    "ulp )\002,/\002  8 = | I - QQ\002,a,\002 | / ( n ulp )          "
	    "   9 = | I - ZZ\002,a,\002 | / ( n ulp )\002,/\002 10 = A is in "
	    "Schur form S\002,/\002 11 = difference between (alpha,beta) and "
	    "diagonals\002,\002 of (S,T)\002,/\002 12 = SDIM is the correct n"
	    "umber of \002,\002selected eigenvalues\002,/)";
    static char fmt_9992[] = "(\002 Matrix order=\002,i5,\002, type=\002,i2"
	    ",\002, seed=\002,4(i4,\002,\002),\002 result \002,i2,\002 is\002"
	    ",0p,f8.2)";
    static char fmt_9991[] = "(\002 Matrix order=\002,i5,\002, type=\002,i2"
	    ",\002, seed=\002,4(i4,\002,\002),\002 result \002,i2,\002 is\002"
	    ",1p,d10.3)";

    /* System generated locals */
    integer a_dim1, a_offset, b_dim1, b_offset, q_dim1, q_offset, s_dim1, 
	    s_offset, t_dim1, t_offset, z_dim1, z_offset, i__1, i__2, i__3, 
	    i__4, i__5, i__6, i__7, i__8, i__9, i__10, i__11;
    doublereal d__1, d__2, d__3, d__4, d__5, d__6, d__7, d__8, d__9, d__10, 
	    d__11, d__12, d__13, d__14, d__15, d__16;
    doublecomplex z__1, z__2, z__3, z__4;

    /* Builtin functions */
    double d_sign(doublereal *, doublereal *), z_abs(doublecomplex *);
    void d_cnjg(doublecomplex *, doublecomplex *);
    integer s_wsfe(cilist *), do_fio(integer *, char *, ftnlen), e_wsfe(void);
    double d_imag(doublecomplex *);

    /* Local variables */
    static integer iadd, sdim, nmax, rsub;
    static char sort[1];
    static doublereal temp1, temp2;
    static integer i__, j, n;
    static logical badnn;
    static integer iinfo;
    static doublereal rmagn[4];
    static doublecomplex ctemp;
    extern /* Subroutine */ int zget51_(integer *, integer *, doublecomplex *,
	     integer *, doublecomplex *, integer *, doublecomplex *, integer *
	    , doublecomplex *, integer *, doublecomplex *, doublereal *, 
	    doublereal *), zgges_(char *, char *, char *, L_fp, integer *, 
	    doublecomplex *, integer *, doublecomplex *, integer *, integer *,
	     doublecomplex *, doublecomplex *, doublecomplex *, integer *, 
	    doublecomplex *, integer *, doublecomplex *, integer *, 
	    doublereal *, logical *, integer *);
    static integer nmats, jsize;
    extern /* Subroutine */ int zget54_(integer *, doublecomplex *, integer *,
	     doublecomplex *, integer *, doublecomplex *, integer *, 
	    doublecomplex *, integer *, doublecomplex *, integer *, 
	    doublecomplex *, integer *, doublecomplex *, doublereal *);
    static integer nerrs, jtype, ntest, n1, isort;
    extern /* Subroutine */ int dlabad_(doublereal *, doublereal *), zlatm4_(
	    integer *, integer *, integer *, integer *, logical *, doublereal 
	    *, doublereal *, doublereal *, integer *, integer *, 
	    doublecomplex *, integer *);
    static logical ilabad;
    static integer jc, nb, in;
    extern doublereal dlamch_(char *);
    static integer jr;
    extern /* Subroutine */ int zunm2r_(char *, char *, integer *, integer *, 
	    integer *, doublecomplex *, integer *, doublecomplex *, 
	    doublecomplex *, integer *, doublecomplex *, integer *);
    static doublereal safmin, safmax;
    static integer knteig, ioldsd[4];
    extern integer ilaenv_(integer *, char *, char *, integer *, integer *, 
	    integer *, integer *, ftnlen, ftnlen);
    extern /* Subroutine */ int alasvm_(char *, integer *, integer *, integer 
	    *, integer *), xerbla_(char *, integer *), 
	    zlarfg_(integer *, doublecomplex *, doublecomplex *, integer *, 
	    doublecomplex *);
    extern /* Double Complex */ VOID zlarnd_(doublecomplex *, integer *, 
	    integer *);
    extern /* Subroutine */ int zlacpy_(char *, integer *, integer *, 
	    doublecomplex *, integer *, doublecomplex *, integer *), 
	    zlaset_(char *, integer *, integer *, doublecomplex *, 
	    doublecomplex *, doublecomplex *, integer *);
    extern logical zlctes_(doublecomplex *, doublecomplex *);
    static integer minwrk, maxwrk;
    static doublereal ulpinv;
    static integer mtypes, ntestt;
    static doublereal ulp;

    /* Fortran I/O blocks */
    static cilist io___43 = { 0, 0, 0, fmt_9999, 0 };
    static cilist io___49 = { 0, 0, 0, fmt_9999, 0 };
    static cilist io___53 = { 0, 0, 0, fmt_9998, 0 };
    static cilist io___55 = { 0, 0, 0, fmt_9997, 0 };
    static cilist io___56 = { 0, 0, 0, fmt_9996, 0 };
    static cilist io___57 = { 0, 0, 0, fmt_9995, 0 };
    static cilist io___58 = { 0, 0, 0, fmt_9994, 0 };
    static cilist io___59 = { 0, 0, 0, fmt_9993, 0 };
    static cilist io___60 = { 0, 0, 0, fmt_9992, 0 };
    static cilist io___61 = { 0, 0, 0, fmt_9991, 0 };



#define a_subscr(a_1,a_2) (a_2)*a_dim1 + a_1
#define a_ref(a_1,a_2) a[a_subscr(a_1,a_2)]
#define b_subscr(a_1,a_2) (a_2)*b_dim1 + a_1
#define b_ref(a_1,a_2) b[b_subscr(a_1,a_2)]
#define q_subscr(a_1,a_2) (a_2)*q_dim1 + a_1
#define q_ref(a_1,a_2) q[q_subscr(a_1,a_2)]
#define s_subscr(a_1,a_2) (a_2)*s_dim1 + a_1
#define s_ref(a_1,a_2) s[s_subscr(a_1,a_2)]
#define t_subscr(a_1,a_2) (a_2)*t_dim1 + a_1
#define t_ref(a_1,a_2) t[t_subscr(a_1,a_2)]
#define z___subscr(a_1,a_2) (a_2)*z_dim1 + a_1
#define z___ref(a_1,a_2) z__[z___subscr(a_1,a_2)]


/*  -- LAPACK test routine (version 3.0) --   
       Univ. of Tennessee, Univ. of California Berkeley, NAG Ltd.,   
       Courant Institute, Argonne National Lab, and Rice University   
       June 30, 1999   


    Purpose   
    =======   

    ZDRGES checks the nonsymmetric generalized eigenvalue (Schur form)   
    problem driver ZGGES.   

    ZGGES factors A and B as Q*S*Z'  and Q*T*Z' , where ' means conjugate   
    transpose, S and T are  upper triangular (i.e., in generalized Schur   
    form), and Q and Z are unitary. It also computes the generalized   
    eigenvalues (alpha(j),beta(j)), j=1,...,n.  Thus,   
    w(j) = alpha(j)/beta(j) is a root of the characteristic equation   

                    det( A - w(j) B ) = 0   

    Optionally it also reorder the eigenvalues so that a selected   
    cluster of eigenvalues appears in the leading diagonal block of the   
    Schur forms.   

    When ZDRGES is called, a number of matrix "sizes" ("N's") and a   
    number of matrix "TYPES" are specified.  For each size ("N")   
    and each TYPE of matrix, a pair of matrices (A, B) will be generated   
    and used for testing. For each matrix pair, the following 13 tests   
    will be performed and compared with the threshhold THRESH except   
    the tests (5), (11) and (13).   


    (1)   | A - Q S Z' | / ( |A| n ulp ) (no sorting of eigenvalues)   


    (2)   | B - Q T Z' | / ( |B| n ulp ) (no sorting of eigenvalues)   


    (3)   | I - QQ' | / ( n ulp ) (no sorting of eigenvalues)   


    (4)   | I - ZZ' | / ( n ulp ) (no sorting of eigenvalues)   

    (5)   if A is in Schur form (i.e. triangular form) (no sorting of   
          eigenvalues)   

    (6)   if eigenvalues = diagonal elements of the Schur form (S, T),   
          i.e., test the maximum over j of D(j)  where:   

                        |alpha(j) - S(j,j)|        |beta(j) - T(j,j)|   
              D(j) = ------------------------ + -----------------------   
                     max(|alpha(j)|,|S(j,j)|)   max(|beta(j)|,|T(j,j)|)   

          (no sorting of eigenvalues)   

    (7)   | (A,B) - Q (S,T) Z' | / ( |(A,B)| n ulp )   
          (with sorting of eigenvalues).   

    (8)   | I - QQ' | / ( n ulp ) (with sorting of eigenvalues).   

    (9)   | I - ZZ' | / ( n ulp ) (with sorting of eigenvalues).   

    (10)  if A is in Schur form (i.e. quasi-triangular form)   
          (with sorting of eigenvalues).   

    (11)  if eigenvalues = diagonal elements of the Schur form (S, T),   
          i.e. test the maximum over j of D(j)  where:   

                        |alpha(j) - S(j,j)|        |beta(j) - T(j,j)|   
              D(j) = ------------------------ + -----------------------   
                     max(|alpha(j)|,|S(j,j)|)   max(|beta(j)|,|T(j,j)|)   

          (with sorting of eigenvalues).   

    (12)  if sorting worked and SDIM is the number of eigenvalues   
          which were CELECTed.   

    Test Matrices   
    =============   

    The sizes of the test matrices are specified by an array   
    NN(1:NSIZES); the value of each element NN(j) specifies one size.   
    The "types" are specified by a logical array DOTYPE( 1:NTYPES ); if   
    DOTYPE(j) is .TRUE., then matrix type "j" will be generated.   
    Currently, the list of possible types is:   

    (1)  ( 0, 0 )         (a pair of zero matrices)   

    (2)  ( I, 0 )         (an identity and a zero matrix)   

    (3)  ( 0, I )         (an identity and a zero matrix)   

    (4)  ( I, I )         (a pair of identity matrices)   

            t   t   
    (5)  ( J , J  )       (a pair of transposed Jordan blocks)   

                                        t                ( I   0  )   
    (6)  ( X, Y )         where  X = ( J   0  )  and Y = (      t )   
                                     ( 0   I  )          ( 0   J  )   
                          and I is a k x k identity and J a (k+1)x(k+1)   
                          Jordan block; k=(N-1)/2   

    (7)  ( D, I )         where D is diag( 0, 1,..., N-1 ) (a diagonal   
                          matrix with those diagonal entries.)   
    (8)  ( I, D )   

    (9)  ( big*D, small*I ) where "big" is near overflow and small=1/big   

    (10) ( small*D, big*I )   

    (11) ( big*I, small*D )   

    (12) ( small*I, big*D )   

    (13) ( big*D, big*I )   

    (14) ( small*D, small*I )   

    (15) ( D1, D2 )        where D1 is diag( 0, 0, 1, ..., N-3, 0 ) and   
                           D2 is diag( 0, N-3, N-4,..., 1, 0, 0 )   
              t   t   
    (16) Q ( J , J ) Z     where Q and Z are random orthogonal matrices.   

    (17) Q ( T1, T2 ) Z    where T1 and T2 are upper triangular matrices   
                           with random O(1) entries above the diagonal   
                           and diagonal entries diag(T1) =   
                           ( 0, 0, 1, ..., N-3, 0 ) and diag(T2) =   
                           ( 0, N-3, N-4,..., 1, 0, 0 )   

    (18) Q ( T1, T2 ) Z    diag(T1) = ( 0, 0, 1, 1, s, ..., s, 0 )   
                           diag(T2) = ( 0, 1, 0, 1,..., 1, 0 )   
                           s = machine precision.   

    (19) Q ( T1, T2 ) Z    diag(T1)=( 0,0,1,1, 1-d, ..., 1-(N-5)*d=s, 0 )   
                           diag(T2) = ( 0, 1, 0, 1, ..., 1, 0 )   

                                                           N-5   
    (20) Q ( T1, T2 ) Z    diag(T1)=( 0, 0, 1, 1, a, ..., a   =s, 0 )   
                           diag(T2) = ( 0, 1, 0, 1, ..., 1, 0, 0 )   

    (21) Q ( T1, T2 ) Z    diag(T1)=( 0, 0, 1, r1, r2, ..., r(N-4), 0 )   
                           diag(T2) = ( 0, 1, 0, 1, ..., 1, 0, 0 )   
                           where r1,..., r(N-4) are random.   

    (22) Q ( big*T1, small*T2 ) Z    diag(T1) = ( 0, 0, 1, ..., N-3, 0 )   
                                     diag(T2) = ( 0, 1, ..., 1, 0, 0 )   

    (23) Q ( small*T1, big*T2 ) Z    diag(T1) = ( 0, 0, 1, ..., N-3, 0 )   
                                     diag(T2) = ( 0, 1, ..., 1, 0, 0 )   

    (24) Q ( small*T1, small*T2 ) Z  diag(T1) = ( 0, 0, 1, ..., N-3, 0 )   
                                     diag(T2) = ( 0, 1, ..., 1, 0, 0 )   

    (25) Q ( big*T1, big*T2 ) Z      diag(T1) = ( 0, 0, 1, ..., N-3, 0 )   
                                     diag(T2) = ( 0, 1, ..., 1, 0, 0 )   

    (26) Q ( T1, T2 ) Z     where T1 and T2 are random upper-triangular   
                            matrices.   


    Arguments   
    =========   

    NSIZES  (input) INTEGER   
            The number of sizes of matrices to use.  If it is zero,   
            DDRGES does nothing.  NSIZES >= 0.   

    NN      (input) INTEGER array, dimension (NSIZES)   
            An array containing the sizes to be used for the matrices.   
            Zero values will be skipped.  NN >= 0.   

    NTYPES  (input) INTEGER   
            The number of elements in DOTYPE.   If it is zero, DDRGES   
            does nothing.  It must be at least zero.  If it is MAXTYP+1   
            and NSIZES is 1, then an additional type, MAXTYP+1 is   
            defined, which is to use whatever matrix is in A on input.   
            This is only useful if DOTYPE(1:MAXTYP) is .FALSE. and   
            DOTYPE(MAXTYP+1) is .TRUE. .   

    DOTYPE  (input) LOGICAL array, dimension (NTYPES)   
            If DOTYPE(j) is .TRUE., then for each size in NN a   
            matrix of that size and of type j will be generated.   
            If NTYPES is smaller than the maximum number of types   
            defined (PARAMETER MAXTYP), then types NTYPES+1 through   
            MAXTYP will not be generated. If NTYPES is larger   
            than MAXTYP, DOTYPE(MAXTYP+1) through DOTYPE(NTYPES)   
            will be ignored.   

    ISEED   (input/output) INTEGER array, dimension (4)   
            On entry ISEED specifies the seed of the random number   
            generator. The array elements should be between 0 and 4095;   
            if not they will be reduced mod 4096. Also, ISEED(4) must   
            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 DDRGES to continue the same random number   
            sequence.   

    THRESH  (input) DOUBLE PRECISION   
            A test will count as "failed" if the "error", computed as   
            described above, exceeds THRESH.  Note that the error is   
            scaled to be O(1), so THRESH should be a reasonably small   
            multiple of 1, e.g., 10 or 100.  In particular, it should   
            not depend on the precision (single vs. double) or the size   
            of the matrix.  THRESH >= 0.   

    NOUNIT  (input) INTEGER   
            The FORTRAN unit number for printing out error messages   
            (e.g., if a routine returns IINFO not equal to 0.)   

    A       (input/workspace) COMPLEX*16 array, dimension(LDA, max(NN))   
            Used to hold the original A matrix.  Used as input only   
            if NTYPES=MAXTYP+1, DOTYPE(1:MAXTYP)=.FALSE., and   
            DOTYPE(MAXTYP+1)=.TRUE.   

    LDA     (input) INTEGER   
            The leading dimension of A, B, S, and T.   
            It must be at least 1 and at least max( NN ).   

    B       (input/workspace) COMPLEX*16 array, dimension(LDA, max(NN))   
            Used to hold the original B matrix.  Used as input only   
            if NTYPES=MAXTYP+1, DOTYPE(1:MAXTYP)=.FALSE., and   
            DOTYPE(MAXTYP+1)=.TRUE.   

    S       (workspace) COMPLEX*16 array, dimension (LDA, max(NN))   
            The Schur form matrix computed from A by ZGGES.  On exit, S   
            contains the Schur form matrix corresponding to the matrix   
            in A.   

    T       (workspace) COMPLEX*16 array, dimension (LDA, max(NN))   
            The upper triangular matrix computed from B by ZGGES.   

    Q       (workspace) COMPLEX*16 array, dimension (LDQ, max(NN))   
            The (left) orthogonal matrix computed by ZGGES.   

    LDQ     (input) INTEGER   
            The leading dimension of Q and Z. It must   
            be at least 1 and at least max( NN ).   

    Z       (workspace) COMPLEX*16 array, dimension( LDQ, max(NN) )   
            The (right) orthogonal matrix computed by ZGGES.   

    ALPHA   (workspace) COMPLEX*16 array, dimension (max(NN))   
    BETA    (workspace) COMPLEX*16 array, dimension (max(NN))   
            The generalized eigenvalues of (A,B) computed by ZGGES.   
            ALPHA(k) / BETA(k) is the k-th generalized eigenvalue of A   
            and B.   

    WORK    (workspace) COMPLEX*16 array, dimension (LWORK)   

    LWORK   (input) INTEGER   
            The dimension of the array WORK.  LWORK >= 3*N*N.   

    RWORK   (workspace) DOUBLE PRECISION array, dimension ( 8*N )   
            Real workspace.   

    RESULT  (output) DOUBLE PRECISION array, dimension (15)   
            The values computed by the tests described above.   
            The values are currently limited to 1/ulp, to avoid overflow.   

    BWORK   (workspace) LOGICAL array, dimension (N)   

    INFO    (output) INTEGER   
            = 0:  successful exit   
            < 0:  if INFO = -i, the i-th argument had an illegal value.   
            > 0:  A routine returned an error code.  INFO is the   
                  absolute value of the INFO value returned.   

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

       Parameter adjustments */
    --nn;
    --dotype;
    --iseed;
    t_dim1 = *lda;
    t_offset = 1 + t_dim1 * 1;
    t -= t_offset;
    s_dim1 = *lda;
    s_offset = 1 + s_dim1 * 1;
    s -= s_offset;
    b_dim1 = *lda;
    b_offset = 1 + b_dim1 * 1;
    b -= b_offset;
    a_dim1 = *lda;
    a_offset = 1 + a_dim1 * 1;
    a -= a_offset;
    z_dim1 = *ldq;
    z_offset = 1 + z_dim1 * 1;
    z__ -= z_offset;
    q_dim1 = *ldq;
    q_offset = 1 + q_dim1 * 1;
    q -= q_offset;
    --alpha;
    --beta;
    --work;
    --rwork;
    --result;
    --bwork;

    /* Function Body   

       Check for errors */

    *info = 0;

    badnn = FALSE_;
    nmax = 1;
    i__1 = *nsizes;
    for (j = 1; j <= i__1; ++j) {
/* Computing MAX */
	i__2 = nmax, i__3 = nn[j];
	nmax = max(i__2,i__3);
	if (nn[j] < 0) {
	    badnn = TRUE_;
	}
/* L10: */
    }

    if (*nsizes < 0) {
	*info = -1;
    } else if (badnn) {
	*info = -2;
    } else if (*ntypes < 0) {
	*info = -3;
    } else if (*thresh < 0.) {
	*info = -6;
    } else if (*lda <= 1 || *lda < nmax) {
	*info = -9;
    } else if (*ldq <= 1 || *ldq < nmax) {
	*info = -14;
    }

/*     Compute workspace   
        (Note: Comments in the code beginning "Workspace:" describe the   
         minimal amount of workspace needed at that point in the code,   
         as well as the preferred amount for good performance.   
         NB refers to the optimal block size for the immediately   
         following subroutine, as returned by ILAENV. */

    minwrk = 1;
    if (*info == 0 && *lwork >= 1) {
	minwrk = nmax * 3 * nmax;
/* Computing MAX */
	i__1 = 1, i__2 = ilaenv_(&c__1, "ZGEQRF", " ", &nmax, &nmax, &c_n1, &
		c_n1, (ftnlen)6, (ftnlen)1), i__1 = max(i__1,i__2), i__2 = 
		ilaenv_(&c__1, "ZUNMQR", "LC", &nmax, &nmax, &nmax, &c_n1, (
		ftnlen)6, (ftnlen)2), i__1 = max(i__1,i__2), i__2 = ilaenv_(&
		c__1, "ZUNGQR", " ", &nmax, &nmax, &nmax, &c_n1, (ftnlen)6, (
		ftnlen)1);
	nb = max(i__1,i__2);
/* Computing MAX */
	i__1 = nmax + nmax * nb, i__2 = nmax * 3 * nmax;
	maxwrk = max(i__1,i__2);
	work[1].r = (doublereal) maxwrk, work[1].i = 0.;
    }

    if (*lwork < minwrk) {
	*info = -19;
    }

    if (*info != 0) {
	i__1 = -(*info);
	xerbla_("ZDRGES", &i__1);
	return 0;
    }

/*     Quick return if possible */

    if (*nsizes == 0 || *ntypes == 0) {
	return 0;
    }

    ulp = dlamch_("Precision");
    safmin = dlamch_("Safe minimum");
    safmin /= ulp;
    safmax = 1. / safmin;
    dlabad_(&safmin, &safmax);
    ulpinv = 1. / ulp;

/*     The values RMAGN(2:3) depend on N, see below. */

    rmagn[0] = 0.;
    rmagn[1] = 1.;

/*     Loop over matrix sizes */

    ntestt = 0;
    nerrs = 0;
    nmats = 0;

    i__1 = *nsizes;
    for (jsize = 1; jsize <= i__1; ++jsize) {
	n = nn[jsize];
	n1 = max(1,n);
	rmagn[2] = safmax * ulp / (doublereal) n1;
	rmagn[3] = safmin * ulpinv * (doublereal) n1;

	if (*nsizes != 1) {
	    mtypes = min(26,*ntypes);
	} else {
	    mtypes = min(27,*ntypes);
	}

/*        Loop over matrix types */

	i__2 = mtypes;
	for (jtype = 1; jtype <= i__2; ++jtype) {
	    if (! dotype[jtype]) {
		goto L180;
	    }
	    ++nmats;
	    ntest = 0;

/*           Save ISEED in case of an error. */

	    for (j = 1; j <= 4; ++j) {
		ioldsd[j - 1] = iseed[j];
/* L20: */
	    }

/*           Initialize RESULT */

	    for (j = 1; j <= 13; ++j) {
		result[j] = 0.;
/* L30: */
	    }

/*           Generate test matrices A and B   

             Description of control parameters:   

             KZLASS: =1 means w/o rotation, =2 means w/ rotation,   
                     =3 means random.   
             KATYPE: the "type" to be passed to ZLATM4 for computing A.   
             KAZERO: the pattern of zeros on the diagonal for A:   
                     =1: ( xxx ), =2: (0, xxx ) =3: ( 0, 0, xxx, 0 ),   
                     =4: ( 0, xxx, 0, 0 ), =5: ( 0, 0, 1, xxx, 0 ),   
                     =6: ( 0, 1, 0, xxx, 0 ).  (xxx means a string of   
                     non-zero entries.)   
             KAMAGN: the magnitude of the matrix: =0: zero, =1: O(1),   
                     =2: large, =3: small.   
             LASIGN: .TRUE. if the diagonal elements of A are to be   
                     multiplied by a random magnitude 1 number.   
             KBTYPE, KBZERO, KBMAGN, LBSIGN: the same, but for B.   
             KTRIAN: =0: don't fill in the upper triangle, =1: do.   
             KZ1, KZ2, KADD: used to implement KAZERO and KBZERO.   
             RMAGN: used to implement KAMAGN and KBMAGN. */

	    if (mtypes > 26) {
		goto L110;
	    }
	    iinfo = 0;
	    if (kclass[jtype - 1] < 3) {

/*              Generate A (w/o rotation) */

		if ((i__3 = katype[jtype - 1], abs(i__3)) == 3) {
		    in = ((n - 1) / 2 << 1) + 1;
		    if (in != n) {
			zlaset_("Full", &n, &n, &c_b1, &c_b1, &a[a_offset], 
				lda);
		    }
		} else {
		    in = n;
		}
		zlatm4_(&katype[jtype - 1], &in, &kz1[kazero[jtype - 1] - 1], 
			&kz2[kazero[jtype - 1] - 1], &lasign[jtype - 1], &
			rmagn[kamagn[jtype - 1]], &ulp, &rmagn[ktrian[jtype - 
			1] * kamagn[jtype - 1]], &c__2, &iseed[1], &a[
			a_offset], lda);
		iadd = kadd[kazero[jtype - 1] - 1];
		if (iadd > 0 && iadd <= n) {
		    i__3 = a_subscr(iadd, iadd);
		    i__4 = kamagn[jtype - 1];
		    a[i__3].r = rmagn[i__4], a[i__3].i = 0.;
		}

/*              Generate B (w/o rotation) */

		if ((i__3 = kbtype[jtype - 1], abs(i__3)) == 3) {
		    in = ((n - 1) / 2 << 1) + 1;
		    if (in != n) {
			zlaset_("Full", &n, &n, &c_b1, &c_b1, &b[b_offset], 
				lda);
		    }
		} else {
		    in = n;
		}
		zlatm4_(&kbtype[jtype - 1], &in, &kz1[kbzero[jtype - 1] - 1], 
			&kz2[kbzero[jtype - 1] - 1], &lbsign[jtype - 1], &
			rmagn[kbmagn[jtype - 1]], &c_b29, &rmagn[ktrian[jtype 
			- 1] * kbmagn[jtype - 1]], &c__2, &iseed[1], &b[
			b_offset], lda);
		iadd = kadd[kbzero[jtype - 1] - 1];
		if (iadd != 0 && iadd <= n) {
		    i__3 = b_subscr(iadd, iadd);
		    i__4 = kbmagn[jtype - 1];
		    b[i__3].r = rmagn[i__4], b[i__3].i = 0.;
		}

		if (kclass[jtype - 1] == 2 && n > 0) {

/*                 Include rotations   

                   Generate Q, Z as Householder transformations times   
                   a diagonal matrix. */

		    i__3 = n - 1;
		    for (jc = 1; jc <= i__3; ++jc) {
			i__4 = n;
			for (jr = jc; jr <= i__4; ++jr) {
			    i__5 = q_subscr(jr, jc);
			    zlarnd_(&z__1, &c__3, &iseed[1]);
			    q[i__5].r = z__1.r, q[i__5].i = z__1.i;
			    i__5 = z___subscr(jr, jc);
			    zlarnd_(&z__1, &c__3, &iseed[1]);
			    z__[i__5].r = z__1.r, z__[i__5].i = z__1.i;
/* L40: */
			}
			i__4 = n + 1 - jc;
			zlarfg_(&i__4, &q_ref(jc, jc), &q_ref(jc + 1, jc), &
				c__1, &work[jc]);
			i__4 = (n << 1) + jc;
			i__5 = q_subscr(jc, jc);
			d__2 = q[i__5].r;
			d__1 = d_sign(&c_b29, &d__2);
			work[i__4].r = d__1, work[i__4].i = 0.;
			i__4 = q_subscr(jc, jc);
			q[i__4].r = 1., q[i__4].i = 0.;
			i__4 = n + 1 - jc;
			zlarfg_(&i__4, &z___ref(jc, jc), &z___ref(jc + 1, jc),
				 &c__1, &work[n + jc]);
			i__4 = n * 3 + jc;
			i__5 = z___subscr(jc, jc);
			d__2 = z__[i__5].r;
			d__1 = d_sign(&c_b29, &d__2);
			work[i__4].r = d__1, work[i__4].i = 0.;
			i__4 = z___subscr(jc, jc);
			z__[i__4].r = 1., z__[i__4].i = 0.;
/* L50: */
		    }
		    zlarnd_(&z__1, &c__3, &iseed[1]);
		    ctemp.r = z__1.r, ctemp.i = z__1.i;
		    i__3 = q_subscr(n, n);
		    q[i__3].r = 1., q[i__3].i = 0.;
		    i__3 = n;
		    work[i__3].r = 0., work[i__3].i = 0.;
		    i__3 = n * 3;
		    d__1 = z_abs(&ctemp);
		    z__1.r = ctemp.r / d__1, z__1.i = ctemp.i / d__1;
		    work[i__3].r = z__1.r, work[i__3].i = z__1.i;
		    zlarnd_(&z__1, &c__3, &iseed[1]);
		    ctemp.r = z__1.r, ctemp.i = z__1.i;
		    i__3 = z___subscr(n, n);
		    z__[i__3].r = 1., z__[i__3].i = 0.;
		    i__3 = n << 1;
		    work[i__3].r = 0., work[i__3].i = 0.;
		    i__3 = n << 2;
		    d__1 = z_abs(&ctemp);
		    z__1.r = ctemp.r / d__1, z__1.i = ctemp.i / d__1;
		    work[i__3].r = z__1.r, work[i__3].i = z__1.i;

/*                 Apply the diagonal matrices */

		    i__3 = n;
		    for (jc = 1; jc <= i__3; ++jc) {
			i__4 = n;
			for (jr = 1; jr <= i__4; ++jr) {
			    i__5 = a_subscr(jr, jc);
			    i__6 = (n << 1) + jr;
			    d_cnjg(&z__3, &work[n * 3 + jc]);
			    z__2.r = work[i__6].r * z__3.r - work[i__6].i * 
				    z__3.i, z__2.i = work[i__6].r * z__3.i + 
				    work[i__6].i * z__3.r;
			    i__7 = a_subscr(jr, jc);
			    z__1.r = z__2.r * a[i__7].r - z__2.i * a[i__7].i, 
				    z__1.i = z__2.r * a[i__7].i + z__2.i * a[
				    i__7].r;
			    a[i__5].r = z__1.r, a[i__5].i = z__1.i;
			    i__5 = b_subscr(jr, jc);
			    i__6 = (n << 1) + jr;
			    d_cnjg(&z__3, &work[n * 3 + jc]);
			    z__2.r = work[i__6].r * z__3.r - work[i__6].i * 
				    z__3.i, z__2.i = work[i__6].r * z__3.i + 
				    work[i__6].i * z__3.r;
			    i__7 = b_subscr(jr, jc);
			    z__1.r = z__2.r * b[i__7].r - z__2.i * b[i__7].i, 
				    z__1.i = z__2.r * b[i__7].i + z__2.i * b[
				    i__7].r;
			    b[i__5].r = z__1.r, b[i__5].i = z__1.i;
/* L60: */
			}
/* L70: */
		    }
		    i__3 = n - 1;
		    zunm2r_("L", "N", &n, &n, &i__3, &q[q_offset], ldq, &work[
			    1], &a[a_offset], lda, &work[(n << 1) + 1], &
			    iinfo);
		    if (iinfo != 0) {
			goto L100;
		    }
		    i__3 = n - 1;
		    zunm2r_("R", "C", &n, &n, &i__3, &z__[z_offset], ldq, &
			    work[n + 1], &a[a_offset], lda, &work[(n << 1) + 
			    1], &iinfo);
		    if (iinfo != 0) {
			goto L100;
		    }
		    i__3 = n - 1;
		    zunm2r_("L", "N", &n, &n, &i__3, &q[q_offset], ldq, &work[
			    1], &b[b_offset], lda, &work[(n << 1) + 1], &
			    iinfo);
		    if (iinfo != 0) {
			goto L100;
		    }
		    i__3 = n - 1;
		    zunm2r_("R", "C", &n, &n, &i__3, &z__[z_offset], ldq, &
			    work[n + 1], &b[b_offset], lda, &work[(n << 1) + 
			    1], &iinfo);
		    if (iinfo != 0) {
			goto L100;
		    }
		}
	    } else {

/*              Random matrices */

		i__3 = n;
		for (jc = 1; jc <= i__3; ++jc) {
		    i__4 = n;
		    for (jr = 1; jr <= i__4; ++jr) {
			i__5 = a_subscr(jr, jc);
			i__6 = kamagn[jtype - 1];
			zlarnd_(&z__2, &c__4, &iseed[1]);
			z__1.r = rmagn[i__6] * z__2.r, z__1.i = rmagn[i__6] * 
				z__2.i;
			a[i__5].r = z__1.r, a[i__5].i = z__1.i;
			i__5 = b_subscr(jr, jc);
			i__6 = kbmagn[jtype - 1];
			zlarnd_(&z__2, &c__4, &iseed[1]);
			z__1.r = rmagn[i__6] * z__2.r, z__1.i = rmagn[i__6] * 
				z__2.i;
			b[i__5].r = z__1.r, b[i__5].i = z__1.i;
/* L80: */
		    }
/* L90: */
		}
	    }

L100:

	    if (iinfo != 0) {
		io___43.ciunit = *nounit;
		s_wsfe(&io___43);
		do_fio(&c__1, "Generator", (ftnlen)9);
		do_fio(&c__1, (char *)&iinfo, (ftnlen)sizeof(integer));
		do_fio(&c__1, (char *)&n, (ftnlen)sizeof(integer));
		do_fio(&c__1, (char *)&jtype, (ftnlen)sizeof(integer));
		do_fio(&c__4, (char *)&ioldsd[0], (ftnlen)sizeof(integer));
		e_wsfe();
		*info = abs(iinfo);
		return 0;
	    }

L110:

	    for (i__ = 1; i__ <= 13; ++i__) {
		result[i__] = -1.;
/* L120: */
	    }

/*           Test with and without sorting of eigenvalues */

	    for (isort = 0; isort <= 1; ++isort) {
		if (isort == 0) {
		    *(unsigned char *)sort = 'N';
		    rsub = 0;
		} else {
		    *(unsigned char *)sort = 'S';
		    rsub = 5;
		}

/*              Call ZGGES to compute H, T, Q, Z, alpha, and beta. */

		zlacpy_("Full", &n, &n, &a[a_offset], lda, &s[s_offset], lda);
		zlacpy_("Full", &n, &n, &b[b_offset], lda, &t[t_offset], lda);
		ntest = rsub + 1 + isort;
		result[rsub + 1 + isort] = ulpinv;
		zgges_("V", "V", sort, (L_fp)zlctes_, &n, &s[s_offset], lda, &
			t[t_offset], lda, &sdim, &alpha[1], &beta[1], &q[
			q_offset], ldq, &z__[z_offset], ldq, &work[1], lwork, 
			&rwork[1], &bwork[1], &iinfo);
		if (iinfo != 0 && iinfo != n + 2) {
		    result[rsub + 1 + isort] = ulpinv;
		    io___49.ciunit = *nounit;
		    s_wsfe(&io___49);
		    do_fio(&c__1, "ZGGES", (ftnlen)5);
		    do_fio(&c__1, (char *)&iinfo, (ftnlen)sizeof(integer));
		    do_fio(&c__1, (char *)&n, (ftnlen)sizeof(integer));
		    do_fio(&c__1, (char *)&jtype, (ftnlen)sizeof(integer));
		    do_fio(&c__4, (char *)&ioldsd[0], (ftnlen)sizeof(integer))
			    ;
		    e_wsfe();
		    *info = abs(iinfo);
		    goto L160;
		}

		ntest = rsub + 4;

/*              Do tests 1--4 (or tests 7--9 when reordering ) */

		if (isort == 0) {
		    zget51_(&c__1, &n, &a[a_offset], lda, &s[s_offset], lda, &
			    q[q_offset], ldq, &z__[z_offset], ldq, &work[1], &
			    rwork[1], &result[1]);
		    zget51_(&c__1, &n, &b[b_offset], lda, &t[t_offset], lda, &
			    q[q_offset], ldq, &z__[z_offset], ldq, &work[1], &
			    rwork[1], &result[2]);
		} else {
		    zget54_(&n, &a[a_offset], lda, &b[b_offset], lda, &s[
			    s_offset], lda, &t[t_offset], lda, &q[q_offset], 
			    ldq, &z__[z_offset], ldq, &work[1], &result[rsub 
			    + 2]);
		}

		zget51_(&c__3, &n, &b[b_offset], lda, &t[t_offset], lda, &q[
			q_offset], ldq, &q[q_offset], ldq, &work[1], &rwork[1]
			, &result[rsub + 3]);
		zget51_(&c__3, &n, &b[b_offset], lda, &t[t_offset], lda, &z__[
			z_offset], ldq, &z__[z_offset], ldq, &work[1], &rwork[
			1], &result[rsub + 4]);

/*              Do test 5 and 6 (or Tests 10 and 11 when reordering):   
                check Schur form of A and compare eigenvalues with   
                diagonals. */

		ntest = rsub + 6;
		temp1 = 0.;

		i__3 = n;
		for (j = 1; j <= i__3; ++j) {
		    ilabad = FALSE_;
		    i__4 = j;
		    i__5 = s_subscr(j, j);
		    z__2.r = alpha[i__4].r - s[i__5].r, z__2.i = alpha[i__4]
			    .i - s[i__5].i;
		    z__1.r = z__2.r, z__1.i = z__2.i;
		    i__6 = j;
		    i__7 = t_subscr(j, j);
		    z__4.r = beta[i__6].r - t[i__7].r, z__4.i = beta[i__6].i 
			    - t[i__7].i;
		    z__3.r = z__4.r, z__3.i = z__4.i;
/* Computing MAX */
		    i__8 = j;
		    i__9 = s_subscr(j, j);
		    d__13 = safmin, d__14 = (d__1 = alpha[i__8].r, abs(d__1)) 
			    + (d__2 = d_imag(&alpha[j]), abs(d__2)), d__13 = 
			    max(d__13,d__14), d__14 = (d__3 = s[i__9].r, abs(
			    d__3)) + (d__4 = d_imag(&s_ref(j, j)), abs(d__4));
/* Computing MAX */
		    i__10 = j;
		    i__11 = t_subscr(j, j);
		    d__15 = safmin, d__16 = (d__5 = beta[i__10].r, abs(d__5)) 
			    + (d__6 = d_imag(&beta[j]), abs(d__6)), d__15 = 
			    max(d__15,d__16), d__16 = (d__7 = t[i__11].r, abs(
			    d__7)) + (d__8 = d_imag(&t_ref(j, j)), abs(d__8));
		    temp2 = (((d__9 = z__1.r, abs(d__9)) + (d__10 = d_imag(&
			    z__1), abs(d__10))) / max(d__13,d__14) + ((d__11 =
			     z__3.r, abs(d__11)) + (d__12 = d_imag(&z__3), 
			    abs(d__12))) / max(d__15,d__16)) / ulp;

		    if (j < n) {
			i__4 = s_subscr(j + 1, j);
			if (s[i__4].r != 0. || s[i__4].i != 0.) {
			    ilabad = TRUE_;
			    result[rsub + 5] = ulpinv;
			}
		    }
		    if (j > 1) {
			i__4 = s_subscr(j, j - 1);
			if (s[i__4].r != 0. || s[i__4].i != 0.) {
			    ilabad = TRUE_;
			    result[rsub + 5] = ulpinv;
			}
		    }
		    temp1 = max(temp1,temp2);
		    if (ilabad) {
			io___53.ciunit = *nounit;
			s_wsfe(&io___53);
			do_fio(&c__1, (char *)&j, (ftnlen)sizeof(integer));
			do_fio(&c__1, (char *)&n, (ftnlen)sizeof(integer));
			do_fio(&c__1, (char *)&jtype, (ftnlen)sizeof(integer))
				;
			do_fio(&c__4, (char *)&ioldsd[0], (ftnlen)sizeof(
				integer));
			e_wsfe();
		    }
/* L130: */
		}
		result[rsub + 6] = temp1;

		if (isort >= 1) {

/*                 Do test 12 */

		    ntest = 12;
		    result[12] = 0.;
		    knteig = 0;
		    i__3 = n;
		    for (i__ = 1; i__ <= i__3; ++i__) {
			if (zlctes_(&alpha[i__], &beta[i__])) {
			    ++knteig;
			}
/* L140: */
		    }
		    if (sdim != knteig) {
			result[13] = ulpinv;
		    }
		}

/* L150: */
	    }

/*           End of Loop -- Check for RESULT(j) > THRESH */

L160:

	    ntestt += ntest;

/*           Print out tests which fail. */

	    i__3 = ntest;
	    for (jr = 1; jr <= i__3; ++jr) {
		if (result[jr] >= *thresh) {

/*                 If this is the first test to fail,   
                   print a header to the data file. */

		    if (nerrs == 0) {
			io___55.ciunit = *nounit;
			s_wsfe(&io___55);
			do_fio(&c__1, "ZGS", (ftnlen)3);
			e_wsfe();

/*                    Matrix types */

			io___56.ciunit = *nounit;
			s_wsfe(&io___56);
			e_wsfe();
			io___57.ciunit = *nounit;
			s_wsfe(&io___57);
			e_wsfe();
			io___58.ciunit = *nounit;
			s_wsfe(&io___58);
			do_fio(&c__1, "Unitary", (ftnlen)7);
			e_wsfe();

/*                    Tests performed */

			io___59.ciunit = *nounit;
			s_wsfe(&io___59);
			do_fio(&c__1, "unitary", (ftnlen)7);
			do_fio(&c__1, "'", (ftnlen)1);
			do_fio(&c__1, "transpose", (ftnlen)9);
			for (j = 1; j <= 8; ++j) {
			    do_fio(&c__1, "'", (ftnlen)1);
			}
			e_wsfe();

		    }
		    ++nerrs;
		    if (result[jr] < 1e4) {
			io___60.ciunit = *nounit;
			s_wsfe(&io___60);
			do_fio(&c__1, (char *)&n, (ftnlen)sizeof(integer));
			do_fio(&c__1, (char *)&jtype, (ftnlen)sizeof(integer))
				;
			do_fio(&c__4, (char *)&ioldsd[0], (ftnlen)sizeof(
				integer));
			do_fio(&c__1, (char *)&jr, (ftnlen)sizeof(integer));
			do_fio(&c__1, (char *)&result[jr], (ftnlen)sizeof(
				doublereal));
			e_wsfe();
		    } else {
			io___61.ciunit = *nounit;
			s_wsfe(&io___61);
			do_fio(&c__1, (char *)&n, (ftnlen)sizeof(integer));
			do_fio(&c__1, (char *)&jtype, (ftnlen)sizeof(integer))
				;
			do_fio(&c__4, (char *)&ioldsd[0], (ftnlen)sizeof(
				integer));
			do_fio(&c__1, (char *)&jr, (ftnlen)sizeof(integer));
			do_fio(&c__1, (char *)&result[jr], (ftnlen)sizeof(
				doublereal));
			e_wsfe();
		    }
		}
/* L170: */
	    }

L180:
	    ;
	}
/* L190: */
    }

/*     Summary */

    alasvm_("ZGS", nounit, &nerrs, &ntestt, &c__0);

    work[1].r = (doublereal) maxwrk, work[1].i = 0.;

    return 0;







/*     End of ZDRGES */

} /* zdrges_ */

#undef z___ref
#undef z___subscr
#undef t_ref
#undef t_subscr
#undef s_ref
#undef s_subscr
#undef q_ref
#undef q_subscr
#undef b_ref
#undef b_subscr
#undef a_ref
#undef a_subscr


