SDRVST2STG(3)

πŸ“¦ version 3.12.0, in opensuse-leap 16.0

πŸ’… SDRVST2STG(3) β€” Library Functions Manual energy ✨

okay so bestie, we are literally in the Library Functions Manual and this page is all about SDRVST2STG. The source file is:

/home/abuild/rpmbuild/BUILD/lapack-static-3.12.0-build/lapack-3.12.0/TESTING/EIG/sdrvst2stg.f

that path is giving β€œmain character with a very long government name,” ngl πŸ’…


🌸 NAME 🌸

/home/abuild/rpmbuild/BUILD/lapack-static-3.12.0-build/lapack-3.12.0/TESTING/EIG/sdrvst2stg.f

periodt, that’s the name🫢


✨ SYNOPSIS ✨

πŸŽ€ Functions/Subroutines πŸŽ€

subroutine SDRVST2STG (nsizes, nn, ntypes, dotype, iseed, thresh,
    nounit, a, lda, d1, d2, d3, d4, eveigs, wa1, wa2, wa3, u, ldu, v,
    tau, z, work, lwork, iwork, liwork, result, info)
    SDRVST2STG

πŸ¦‹ Function/Subroutine Documentation πŸ¦‹

πŸ’… subroutine SDRVST2STG

here’s the full typed-out signature, bestie β€” every argument is staying exactly where it belongs, lowkey iconic:

subroutine SDRVST2STG (integer nsizes, integer, dimension( * ) nn, integer
    ntypes, logical, dimension( * ) dotype, integer, dimension( 4 ) iseed,
    real thresh, integer nounit, real, dimension( lda, * ) a, integer lda,
    real, dimension( * ) d1, real, dimension( * ) d2, real, dimension( * )
    d3, real, dimension( * ) d4, real, dimension( * ) eveigs, real,
    dimension( * ) wa1, real, dimension( * ) wa2, real, dimension( * ) wa3,
    real, dimension( ldu, * ) u, integer ldu, real, dimension( ldu, * ) v,
    real, dimension( * ) tau, real, dimension( ldu, * ) z, real, dimension(
    * ) work, integer lwork, integer, dimension( * ) iwork, integer liwork,
    real, dimension( * ) result, integer info)
    SDRVST2STG

πŸŽ€ Purpose πŸŽ€

SDRVST2STG checks the symmetric eigenvalue problem drivers. like, it is the vibe check for a whole lineup of driver routines, and the lineup is:

  • SSTEV β€” computes all eigenvalues and, optionally, eigenvectors of a real symmetric tridiagonal matrix.
  • SSTEVX β€” computes selected eigenvalues and, optionally, eigenvectors of a real symmetric tridiagonal matrix.
  • SSTEVR β€” computes selected eigenvalues and, optionally, eigenvectors of a real symmetric tridiagonal matrix using the Relatively Robust Representation where it can.
  • SSYEV β€” computes all eigenvalues and, optionally, eigenvectors of a real symmetric matrix.
  • SSYEVX β€” computes selected eigenvalues and, optionally, eigenvectors of a real symmetric matrix.
  • SSYEVR β€” computes selected eigenvalues and, optionally, eigenvectors of a real symmetric matrix using the Relatively Robust Representation where it can.
  • SSPEV β€” computes all eigenvalues and, optionally, eigenvectors of a real symmetric matrix in packed storage.
  • SSPEVX β€” computes selected eigenvalues and, optionally, eigenvectors of a real symmetric matrix in packed storage.
  • SSBEV β€” computes all eigenvalues and, optionally, eigenvectors of a real symmetric band matrix.
  • SSBEVX β€” computes selected eigenvalues and, optionally, eigenvectors of a real symmetric band matrix.
  • SSYEVD β€” computes all eigenvalues and, optionally, eigenvectors of a real symmetric matrix using a divide and conquer algorithm.
  • SSPEVD β€” computes all eigenvalues and, optionally, eigenvectors of a real symmetric matrix in packed storage, using a divide and conquer algorithm.
  • SSBEVD β€” computes all eigenvalues and, optionally, eigenvectors of a real symmetric band matrix, using a divide and conquer algorithm.

When SDRVST2STG is called, a number of matrix sizes (NSIZES) and a number of matrix types (NTYPES) are specified. For each size (NSIZES) and each type of matrix, one matrix will be generated and used to test the appropriate drivers. For each matrix and each driver routine called, the following tests will be performed:

  1. | A - Z D Z' | / ( |A| n ulp )
  2. | I - Z Z' | / ( n ulp )
  3. | D1 - D2 | / ( |D1| ulp )

where Z is the matrix of eigenvectors returned when the eigenvector option is given and D1 and D2 are the eigenvalues returned with and without the eigenvector option.

The sizes 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. The zero matrix.
  2. The identity matrix.
  3. A diagonal matrix with evenly spaced eigenvalues 1, ..., ULP and random signs. (ULP = (first number larger than 1) - 1 )
  4. A diagonal matrix with geometrically spaced eigenvalues 1, ..., ULP and random signs.
  5. A diagonal matrix with N eigenvalues 1, ULP, ..., ULP and random signs.
  6. Same as (4), but multiplied by SQRT( overflow threshold )
  7. Same as (4), but multiplied by SQRT( underflow threshold )
  8. A matrix of the form U' D U, where U is orthogonal and D has evenly spaced entries 1, ..., ULP with random signs on the diagonal.
  9. A matrix of the form U' D U, where U is orthogonal and D has geometrically spaced entries 1, ..., ULP with random signs on the diagonal.
  10. A matrix of the form U' D U, where U is orthogonal and D has N entries 1, ULP,..., ULP with random signs on the diagonal.
  11. Same as (8), but multiplied by SQRT( overflow threshold )
  12. Same as (8), but multiplied by SQRT( underflow threshold )
  13. Symmetric matrix with random entries chosen from (-1,1).
  14. Same as (13), but multiplied by SQRT( overflow threshold )
  15. Same as (13), but multiplied by SQRT( underflow threshold )
  16. A band matrix with half bandwidth randomly chosen between 0 and N-1, with evenly spaced eigenvalues 1, ..., ULP with random signs.
  17. Same as (16), but multiplied by SQRT( overflow threshold )
  18. Same as (16), but multiplied by SQRT( underflow threshold )
  • NSIZES β€” INTEGER. The number of sizes of matrices to use. If it is zero, SDRVST2STG does nothing. It must be at least zero. Not modified. πŸ’…
  • NN β€” INTEGER array, dimension (NSIZES). An array containing the sizes to be used for the matrices. Zero values will be skipped. The values must be at least zero. Not modified. ✨
  • NTYPES β€” INTEGER. The number of elements in DOTYPE. If it is zero, SDRVST2STG 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. This is only useful if DOTYPE(1:MAXTYP) is .FALSE. and DOTYPE(MAXTYP+1) is .TRUE. . Not modified. πŸŽ€
  • DOTYPE β€” 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. Not modified. πŸ¦‹
  • ISEED β€” 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 SDRVST2STG to continue the same random number sequence. Modified. πŸ”₯
  • THRESH β€” REAL. A test will count as β€” yes, the original leaves this word blank β€” if the β€” also blank β€”, 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. It must be at least zero. Not modified. πŸ’€
  • NOUNIT β€” INTEGER. The FORTRAN unit number for printing out error messages (e.g., if a routine returns IINFO not equal to 0.) Not modified. 🌸
  • A β€” REAL array, dimension (LDA , max(NN)). Used to hold the matrix whose eigenvalues are to be computed. On exit, A contains the last matrix actually used. Modified. πŸ‘‘
  • LDA β€” INTEGER. The leading dimension of A. It must be at least 1 and at least max( NN ). Not modified. ✨
  • D1 β€” REAL array, dimension (max(NN)). The eigenvalues of A, as computed by SSTEQR simultaneously with Z. On exit, the eigenvalues in D1 correspond with the matrix in A. Modified. πŸ’–
  • D2 β€” REAL array, dimension (max(NN)). The eigenvalues of A, as computed by SSTEQR if Z is not computed. On exit, the eigenvalues in D2 correspond with the matrix in A. Modified. πŸ’–
  • D3 β€” REAL array, dimension (max(NN)). The eigenvalues of A, as computed by SSTERF. On exit, the eigenvalues in D3 correspond with the matrix in A. Modified. πŸ’–
  • D4 β€” REAL array, dimension β€” and that is literally where the original stops, bestie. No cap.
  • EVEIGS β€” REAL array, dimension (max(NN)). The eigenvalues as computed by SSTEV('N', ... ) (I reserve the right to change this to the output of whichever algorithm computes the most accurate eigenvalues). 🌈
  • WA1 β€” REAL array, dimension β€” again, the page just says dimension and moves on. πŸ™ˆ
  • WA2 β€” REAL array, dimension β€” same energy. πŸ™ˆ
  • WA3 β€” REAL array, dimension β€” same energy, part three. πŸ™ˆ
  • U β€” REAL array, dimension (LDU, max(NN)). The orthogonal matrix computed by SSYTRD + SORGTR. Modified. 🧚
  • LDU β€” INTEGER. The leading dimension of U, Z, and V. It must be at least 1 and at least max( NN ). Not modified. πŸŽ€
  • V β€” REAL array, dimension (LDU, max(NN)). The Housholder vectors β€” spelling exactly as the page gives it, no shade β€” computed by SSYTRD in reducing A to tridiagonal form. Modified. πŸ¦‹
  • TAU β€” REAL array, dimension (max(NN)). The Householder factors computed by SSYTRD in reducing A to tridiagonal form. Modified. ⭐
  • Z β€” REAL array, dimension (LDU, max(NN)). The orthogonal matrix of eigenvectors computed by SSTEQR, SPTEQR, and SSTEIN. Modified. πŸ’œ
  • WORK β€” REAL array, dimension (LWORK). Workspace. Modified. 🫢
  • LWORK β€” INTEGER. The number of entries in WORK. This must be at least 1 + 4 * Nmax + 2 * Nmax * lg Nmax + 4 * Nmax**2 where Nmax = max( NN(j), 2 ) and lg = log base 2. Not modified. πŸ”₯
  • IWORK β€” INTEGER array, dimension (6 + 6*Nmax + 5 * Nmax * lg Nmax ) where Nmax = max( NN(j), 2 ) and lg = log base 2. Workspace. Modified. πŸ“
  • RESULT β€” REAL array, dimension (105). The values computed by the tests described above. The values are currently limited to 1/ulp, to avoid overflow. Modified. πŸ‘‘
  • INFO β€” INTEGER. If 0, then everything ran OK.
    • -1: NSIZES < 0
    • -2: Some NN(j) < 0
    • -3: NTYPES < 0
    • -5: THRESH < 0
    • -9: LDA < 1 or LDA < NMAX, where NMAX is max( NN(j) ).
    • -16: LDU < 1 or LDU < NMAX.
    • -21: LWORK too small. If SLATMR, SLATMS, SSYTRD, SORGTR, SSTEQR, SSTERF, or SORMTR returns an error code, the absolute value of it is returned. Modified. πŸ’…

🧠 Some Local Variables and Parameters:

  • ZERO, ONE β€” Real 0 and 1. ✨
  • MAXTYP β€” The number of types defined. πŸŽ€
  • NTEST β€” The number of tests performed, or which can be performed so far, for the current matrix. πŸ’–
  • NTESTT β€” The total number of tests performed so far. πŸ’–
  • NMAX β€” Largest value in NN. πŸ”₯
  • NMATS β€” The number of matrices generated so far. πŸ¦‹
  • NERRS β€” The number of tests which have exceeded THRESH so far (computed by SLAFTS). πŸ’€
  • COND, IMODE β€” Values to be passed to the matrix generators. 🌸
  • ANORM β€” Norm of A; passed to matrix generators. ⭐
  • OVFL, UNFL β€” Overflow and underflow thresholds. 🌈
  • ULP, ULPINV β€” Finest relative precision and its inverse. πŸ’œ
  • RTOVFL, RTUNFL β€” Square roots of the previous 2 values. 🧚

The following four arrays decode JTYPE: β€” yes, the original says four and then lists three, and we are keeping the facts exactly as they are:

  • KTYPE(j) β€” The general type (1-10) for type . 🫢
  • KMODE(j) β€” The MODE value to be passed to the matrix generator for type . 🫢
  • KMAGN(j) β€” The order of magnitude ( O(1), O(overflow^(1/2) ), O(underflow^(1/2) ) 🫢

The tests performed are: Routine tested πŸ‘‘

  1. | A - U S U' | / ( |A| n ulp ) β€” routine tested: SSTEV('V', ... )
  2. | I - U U' | / ( n ulp ) β€” routine tested: SSTEV('V', ... )
  3. |D(with Z) - D(w/o Z)| / (|D| ulp) β€” routine tested: SSTEV('N', ... )
  4. | A - U S U' | / ( |A| n ulp ) β€” routine tested: SSTEVX('V','A', ... )
  5. | I - U U' | / ( n ulp ) β€” routine tested: SSTEVX('V','A', ... )
  6. |D(with Z) - EVEIGS| / (|D| ulp) β€” routine tested: SSTEVX('N','A', ... )
  7. | A - U S U' | / ( |A| n ulp ) β€” routine tested: SSTEVR('V','A', ... )
  8. | I - U U' | / ( n ulp ) β€” routine tested: SSTEVR('V','A', ... )
  9. |D(with Z) - EVEIGS| / (|D| ulp) β€” routine tested: SSTEVR('N','A', ... )
  10. | A - U S U' | / ( |A| n ulp ) β€” routine tested: SSTEVX('V','I', ... )
  11. | I - U U' | / ( n ulp ) β€” routine tested: SSTEVX('V','I', ... )
  12. |D(with Z) - D(w/o Z)| / (|D| ulp) β€” routine tested: SSTEVX('N','I', ... )
  13. | A - U S U' | / ( |A| n ulp ) β€” routine tested: SSTEVX('V','V', ... )
  14. | I - U U' | / ( n ulp ) β€” routine tested: SSTEVX('V','V', ... )
  15. |D(with Z) - D(w/o Z)| / (|D| ulp) β€” routine tested: SSTEVX('N','V', ... )
  16. | A - U S U' | / ( |A| n ulp ) β€” routine tested: SSTEVD('V', ... )
  17. | I - U U' | / ( n ulp ) β€” routine tested: SSTEVD('V', ... )
  18. |D(with Z) - EVEIGS| / (|D| ulp) β€” routine tested: SSTEVD('N', ... )
  19. | A - U S U' | / ( |A| n ulp ) β€” routine tested: SSTEVR('V','I', ... )
  20. | I - U U' | / ( n ulp ) β€” routine tested: SSTEVR('V','I', ... )
  21. |D(with Z) - D(w/o Z)| / (|D| ulp) β€” routine tested: SSTEVR('N','I', ... )
  22. | A - U S U' | / ( |A| n ulp ) β€” routine tested: SSTEVR('V','V', ... )
  23. | I - U U' | / ( n ulp ) β€” routine tested: SSTEVR('V','V', ... )
  24. |D(with Z) - D(w/o Z)| / (|D| ulp) β€” routine tested: SSTEVR('N','V', ... )
  25. | A - U S U' | / ( |A| n ulp ) β€” routine tested: SSYEV('L','V', ... )
  26. | I - U U' | / ( n ulp ) β€” routine tested: SSYEV('L','V', ... )
  27. |D(with Z) - D(w/o Z)| / (|D| ulp) β€” routine tested: SSYEV_2STAGE('L','N', ... )
  28. | A - U S U' | / ( |A| n ulp ) β€” routine tested: SSYEVX('L','V','A', ... )

okay bestie, we're back in the test list and it's giving ✨extremely thorough✨ β€” picking up right at test 29, no cap, every line preserved exactly:

           !>    29= | I - U U' | / ( n ulp )              SSYEVX('L','V','A', ... )
           !>    30= |D(with Z) - D(w/o Z)| / (|D| ulp)    SSYEVX_2STAGE('L','N','A', ... )
           !>    31= | A - U S U' | / ( |A| n ulp )        SSYEVX('L','V','I', ... )
           !>    32= | I - U U' | / ( n ulp )              SSYEVX('L','V','I', ... )
           !>    33= |D(with Z) - D(w/o Z)| / (|D| ulp)    SSYEVX_2STAGE('L','N','I', ... )
           !>    34= | A - U S U' | / ( |A| n ulp )        SSYEVX('L','V','V', ... )
           !>    35= | I - U U' | / ( n ulp )              SSYEVX('L','V','V', ... )
           !>    36= |D(with Z) - D(w/o Z)| / (|D| ulp)    SSYEVX_2STAGE('L','N','V', ... )
           !>    37= | A - U S U' | / ( |A| n ulp )        SSPEV('L','V', ... )
           !>    38= | I - U U' | / ( n ulp )              SSPEV('L','V', ... )
           !>    39= |D(with Z) - D(w/o Z)| / (|D| ulp)    SSPEV('L','N', ... )
           !>    40= | A - U S U' | / ( |A| n ulp )        SSPEVX('L','V','A', ... )
           !>    41= | I - U U' | / ( n ulp )              SSPEVX('L','V','A', ... )
           !>    42= |D(with Z) - D(w/o Z)| / (|D| ulp)    SSPEVX('L','N','A', ... )
           !>    43= | A - U S U' | / ( |A| n ulp )        SSPEVX('L','V','I', ... )
           !>    44= | I - U U' | / ( n ulp )              SSPEVX('L','V','I', ... )
           !>    45= |D(with Z) - D(w/o Z)| / (|D| ulp)    SSPEVX('L','N','I', ... )
           !>    46= | A - U S U' | / ( |A| n ulp )        SSPEVX('L','V','V', ... )
           !>    47= | I - U U' | / ( n ulp )              SSPEVX('L','V','V', ... )
           !>    48= |D(with Z) - D(w/o Z)| / (|D| ulp)    SSPEVX('L','N','V', ... )
           !>    49= | A - U S U' | / ( |A| n ulp )        SSBEV('L','V', ... )
           !>    50= | I - U U' | / ( n ulp )              SSBEV('L','V', ... )
           !>    51= |D(with Z) - D(w/o Z)| / (|D| ulp)    SSBEV_2STAGE('L','N', ... )
           !>    52= | A - U S U' | / ( |A| n ulp )        SSBEVX('L','V','A', ... )
           !>    53= | I - U U' | / ( n ulp )              SSBEVX('L','V','A', ... )
           !>    54= |D(with Z) - D(w/o Z)| / (|D| ulp)    SSBEVX_2STAGE('L','N','A', ... )
           !>    55= | A - U S U' | / ( |A| n ulp )        SSBEVX('L','V','I', ... )
           !>    56= | I - U U' | / ( n ulp )              SSBEVX('L','V','I', ... )
           !>    57= |D(with Z) - D(w/o Z)| / (|D| ulp)    SSBEVX_2STAGE('L','N','I', ... )
           !>    58= | A - U S U' | / ( |A| n ulp )        SSBEVX('L','V','V', ... )
           !>    59= | I - U U' | / ( n ulp )              SSBEVX('L','V','V', ... )
           !>    60= |D(with Z) - D(w/o Z)| / (|D| ulp)    SSBEVX_2STAGE('L','N','V', ... )
           !>    61= | A - U S U' | / ( |A| n ulp )        SSYEVD('L','V', ... )
           !>    62= | I - U U' | / ( n ulp )              SSYEVD('L','V', ... )
           !>    63= |D(with Z) - D(w/o Z)| / (|D| ulp)    SSYEVD_2STAGE('L','N', ... )
           !>    64= | A - U S U' | / ( |A| n ulp )        SSPEVD('L','V', ... )
           !>    65= | I - U U' | / ( n ulp )              SSPEVD('L','V', ... )
           !>    66= |D(with Z) - D(w/o Z)| / (|D| ulp)    SSPEVD('L','N', ... )
           !>    67= | A - U S U' | / ( |A| n ulp )        SSBEVD('L','V', ... )
           !>    68= | I - U U' | / ( n ulp )              SSBEVD('L','V', ... )
           !>    69= |D(with Z) - D(w/o Z)| / (|D| ulp)    SSBEVD_2STAGE('L','N', ... )
           !>    70= | A - U S U' | / ( |A| n ulp )        SSYEVR('L','V','A', ... )
           !>    71= | I - U U' | / ( n ulp )              SSYEVR('L','V','A', ... )
           !>    72= |D(with Z) - D(w/o Z)| / (|D| ulp)    SSYEVR_2STAGE('L','N','A', ... )
           !>    73= | A - U S U' | / ( |A| n ulp )        SSYEVR('L','V','I', ... )
           !>    74= | I - U U' | / ( n ulp )              SSYEVR('L','V','I', ... )
           !>    75= |D(with Z) - D(w/o Z)| / (|D| ulp)    SSYEVR_2STAGE('L','N','I', ... )
           !>    76= | A - U S U' | / ( |A| n ulp )        SSYEVR('L','V','V', ... )
           !>    77= | I - U U' | / ( n ulp )              SSYEVR('L','V','V', ... )
           !>    78= |D(with Z) - D(w/o Z)| / (|D| ulp)    SSYEVR_2STAGE('L','N','V', ... )
           !>
           !>    Tests 25 through 78 are repeated (as tests 79 through 132)
           !>    with UPLO='U'
           !>
           !>    To be added in 1999
           !>
           !>    79= | A - U S U' | / ( |A| n ulp )        SSPEVR('L','V','A', ... )
           !>    80= | I - U U' | / ( n ulp )              SSPEVR('L','V','A', ... )
           !>    81= |D(with Z) - D(w/o Z)| / (|D| ulp)    SSPEVR('L','N','A', ... )
           !>    82= | A - U S U' | / ( |A| n ulp )        SSPEVR('L','V','I', ... )
           !>    83= | I - U U' | / ( n ulp )              SSPEVR('L','V','I', ... )
           !>    84= |D(with Z) - D(w/o Z)| / (|D| ulp)    SSPEVR('L','N','I', ... )
           !>    85= | A - U S U' | / ( |A| n ulp )        SSPEVR('L','V','V', ... )
           !>    86= | I - U U' | / ( n ulp )              SSPEVR('L','V','V', ... )
           !>    87= |D(with Z) - D(w/o Z)| / (|D| ulp)    SSPEVR('L','N','V', ... )
           !>    88= | A - U S U' | / ( |A| n ulp )        SSBEVR('L','V','A', ... )
           !>    89= | I - U U' | / ( n ulp )              SSBEVR('L','V','A', ... )
           !>    90= |D(with Z) - D(w/o Z)| / (|D| ulp)    SSBEVR('L','N','A', ... )
           !>    91= | A - U S U' | / ( |A| n ulp )        SSBEVR('L','V','I', ... )
           !>    92= | I - U U' | / ( n ulp )              SSBEVR('L','V','I', ... )
           !>    93= |D(with Z) - D(w/o Z)| / (|D| ulp)    SSBEVR('L','N','I', ... )
           !>    94= | A - U S U' | / ( |A| n ulp )        SSBEVR('L','V','V', ... )
           !>    95= | I - U U' | / ( n ulp )              SSBEVR('L','V','V', ... )
           !>    96= |D(with Z) - D(w/o Z)| / (|D| ulp)    SSBEVR('L','N','V', ... )
           !>

the way this list just keeps going? iconic behavior honestly πŸ’… and yes, the whole note about tests 25 through 78 repeating as 79 through 132 with UPLO='U', plus the "To be added in 1999" line, are all still there β€” untouched, exactly as written. periodt.

Author πŸŽ€

  • Univ. of Tennessee
  • Univ. of California Berkeley
  • Univ. of Colorado Denver
  • NAG Ltd.

Definition at line 449 of file sdrvst2stg.f.

Author (auto-generated edition) 🧚

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