[] add metering mode to CLI

1 files changed, 418 insertions, 0 deletions

diff --git a/contrib/libs/clapack/clatrd.c b/contrib/libs/clapack/clatrd.c
new file mode 100644
index 00000000000..4a696f17c92
--- /dev/null
+++ b/contrib/libs/clapack/clatrd.c
@@ -0,0 +1,418 @@
+/* clatrd.f -- translated by f2c (version 20061008).
+   You must link the resulting object file with libf2c:
+	on Microsoft Windows system, link with libf2c.lib;
+	on Linux or Unix systems, link with .../path/to/libf2c.a -lm
+	or, if you install libf2c.a in a standard place, with -lf2c -lm
+	-- in that order, at the end of the command line, as in
+		cc *.o -lf2c -lm
+	Source for libf2c is in /netlib/f2c/libf2c.zip, e.g.,
+
+		http://www.netlib.org/f2c/libf2c.zip
+*/
+
+#include "f2c.h"
+#include "blaswrap.h"
+
+/* Table of constant values */
+
+static complex c_b1 = {0.f,0.f};
+static complex c_b2 = {1.f,0.f};
+static integer c__1 = 1;
+
+/* Subroutine */ int clatrd_(char *uplo, integer *n, integer *nb, complex *a, 
+	integer *lda, real *e, complex *tau, complex *w, integer *ldw)
+{
+    /* System generated locals */
+    integer a_dim1, a_offset, w_dim1, w_offset, i__1, i__2, i__3;
+    real r__1;
+    complex q__1, q__2, q__3, q__4;
+
+    /* Local variables */
+    integer i__, iw;
+    complex alpha;
+    extern /* Subroutine */ int cscal_(integer *, complex *, complex *, 
+	    integer *);
+    extern /* Complex */ VOID cdotc_(complex *, integer *, complex *, integer 
+	    *, complex *, integer *);
+    extern /* Subroutine */ int cgemv_(char *, integer *, integer *, complex *
+, complex *, integer *, complex *, integer *, complex *, complex *
+, integer *), chemv_(char *, integer *, complex *, 
+	    complex *, integer *, complex *, integer *, complex *, complex *, 
+	    integer *);
+    extern logical lsame_(char *, char *);
+    extern /* Subroutine */ int caxpy_(integer *, complex *, complex *, 
+	    integer *, complex *, integer *), clarfg_(integer *, complex *, 
+	    complex *, integer *, complex *), clacgv_(integer *, complex *, 
+	    integer *);
+
+
+/*  -- LAPACK auxiliary routine (version 3.2) -- */
+/*     Univ. of Tennessee, Univ. of California Berkeley and NAG Ltd.. */
+/*     November 2006 */
+
+/*     .. Scalar Arguments .. */
+/*     .. */
+/*     .. Array Arguments .. */
+/*     .. */
+
+/*  Purpose */
+/*  ======= */
+
+/*  CLATRD reduces NB rows and columns of a complex Hermitian matrix A to */
+/*  Hermitian tridiagonal form by a unitary similarity */
+/*  transformation Q' * A * Q, and returns the matrices V and W which are */
+/*  needed to apply the transformation to the unreduced part of A. */
+
+/*  If UPLO = 'U', CLATRD reduces the last NB rows and columns of a */
+/*  matrix, of which the upper triangle is supplied; */
+/*  if UPLO = 'L', CLATRD reduces the first NB rows and columns of a */
+/*  matrix, of which the lower triangle is supplied. */
+
+/*  This is an auxiliary routine called by CHETRD. */
+
+/*  Arguments */
+/*  ========= */
+
+/*  UPLO    (input) CHARACTER*1 */
+/*          Specifies whether the upper or lower triangular part of the */
+/*          Hermitian matrix A is stored: */
+/*          = 'U': Upper triangular */
+/*          = 'L': Lower triangular */
+
+/*  N       (input) INTEGER */
+/*          The order of the matrix A. */
+
+/*  NB      (input) INTEGER */
+/*          The number of rows and columns to be reduced. */
+
+/*  A       (input/output) COMPLEX array, dimension (LDA,N) */
+/*          On entry, the Hermitian matrix A.  If UPLO = 'U', the leading */
+/*          n-by-n upper triangular part of A contains the upper */
+/*          triangular part of the matrix A, and the strictly lower */
+/*          triangular part of A is not referenced.  If UPLO = 'L', the */
+/*          leading n-by-n lower triangular part of A contains the lower */
+/*          triangular part of the matrix A, and the strictly upper */
+/*          triangular part of A is not referenced. */
+/*          On exit: */
+/*          if UPLO = 'U', the last NB columns have been reduced to */
+/*            tridiagonal form, with the diagonal elements overwriting */
+/*            the diagonal elements of A; the elements above the diagonal */
+/*            with the array TAU, represent the unitary matrix Q as a */
+/*            product of elementary reflectors; */
+/*          if UPLO = 'L', the first NB columns have been reduced to */
+/*            tridiagonal form, with the diagonal elements overwriting */
+/*            the diagonal elements of A; the elements below the diagonal */
+/*            with the array TAU, represent the  unitary matrix Q as a */
+/*            product of elementary reflectors. */
+/*          See Further Details. */
+
+/*  LDA     (input) INTEGER */
+/*          The leading dimension of the array A.  LDA >= max(1,N). */
+
+/*  E       (output) REAL array, dimension (N-1) */
+/*          If UPLO = 'U', E(n-nb:n-1) contains the superdiagonal */
+/*          elements of the last NB columns of the reduced matrix; */
+/*          if UPLO = 'L', E(1:nb) contains the subdiagonal elements of */
+/*          the first NB columns of the reduced matrix. */
+
+/*  TAU     (output) COMPLEX array, dimension (N-1) */
+/*          The scalar factors of the elementary reflectors, stored in */
+/*          TAU(n-nb:n-1) if UPLO = 'U', and in TAU(1:nb) if UPLO = 'L'. */
+/*          See Further Details. */
+
+/*  W       (output) COMPLEX array, dimension (LDW,NB) */
+/*          The n-by-nb matrix W required to update the unreduced part */
+/*          of A. */
+
+/*  LDW     (input) INTEGER */
+/*          The leading dimension of the array W. LDW >= max(1,N). */
+
+/*  Further Details */
+/*  =============== */
+
+/*  If UPLO = 'U', the matrix Q is represented as a product of elementary */
+/*  reflectors */
+
+/*     Q = H(n) H(n-1) . . . H(n-nb+1). */
+
+/*  Each H(i) has the form */
+
+/*     H(i) = I - tau * v * v' */
+
+/*  where tau is a complex scalar, and v is a complex vector with */
+/*  v(i:n) = 0 and v(i-1) = 1; v(1:i-1) is stored on exit in A(1:i-1,i), */
+/*  and tau in TAU(i-1). */
+
+/*  If UPLO = 'L', the matrix Q is represented as a product of elementary */
+/*  reflectors */
+
+/*     Q = H(1) H(2) . . . H(nb). */
+
+/*  Each H(i) has the form */
+
+/*     H(i) = I - tau * v * v' */
+
+/*  where tau is a complex scalar, and v is a complex vector with */
+/*  v(1:i) = 0 and v(i+1) = 1; v(i+1:n) is stored on exit in A(i+1:n,i), */
+/*  and tau in TAU(i). */
+
+/*  The elements of the vectors v together form the n-by-nb matrix V */
+/*  which is needed, with W, to apply the transformation to the unreduced */
+/*  part of the matrix, using a Hermitian rank-2k update of the form: */
+/*  A := A - V*W' - W*V'. */
+
+/*  The contents of A on exit are illustrated by the following examples */
+/*  with n = 5 and nb = 2: */
+
+/*  if UPLO = 'U':                       if UPLO = 'L': */
+
+/*    (  a   a   a   v4  v5 )              (  d                  ) */
+/*    (      a   a   v4  v5 )              (  1   d              ) */
+/*    (          a   1   v5 )              (  v1  1   a          ) */
+/*    (              d   1  )              (  v1  v2  a   a      ) */
+/*    (                  d  )              (  v1  v2  a   a   a  ) */
+
+/*  where d denotes a diagonal element of the reduced matrix, a denotes */
+/*  an element of the original matrix that is unchanged, and vi denotes */
+/*  an element of the vector defining H(i). */
+
+/*  ===================================================================== */
+
+/*     .. Parameters .. */
+/*     .. */
+/*     .. Local Scalars .. */
+/*     .. */
+/*     .. External Subroutines .. */
+/*     .. */
+/*     .. External Functions .. */
+/*     .. */
+/*     .. Intrinsic Functions .. */
+/*     .. */
+/*     .. Executable Statements .. */
+
+/*     Quick return if possible */
+
+    /* Parameter adjustments */
+    a_dim1 = *lda;
+    a_offset = 1 + a_dim1;
+    a -= a_offset;
+    --e;
+    --tau;
+    w_dim1 = *ldw;
+    w_offset = 1 + w_dim1;
+    w -= w_offset;
+
+    /* Function Body */
+    if (*n <= 0) {
+	return 0;
+    }
+
+    if (lsame_(uplo, "U")) {
+
+/*        Reduce last NB columns of upper triangle */
+
+	i__1 = *n - *nb + 1;
+	for (i__ = *n; i__ >= i__1; --i__) {
+	    iw = i__ - *n + *nb;
+	    if (i__ < *n) {
+
+/*              Update A(1:i,i) */
+
+		i__2 = i__ + i__ * a_dim1;
+		i__3 = i__ + i__ * a_dim1;
+		r__1 = a[i__3].r;
+		a[i__2].r = r__1, a[i__2].i = 0.f;
+		i__2 = *n - i__;
+		clacgv_(&i__2, &w[i__ + (iw + 1) * w_dim1], ldw);
+		i__2 = *n - i__;
+		q__1.r = -1.f, q__1.i = -0.f;
+		cgemv_("No transpose", &i__, &i__2, &q__1, &a[(i__ + 1) * 
+			a_dim1 + 1], lda, &w[i__ + (iw + 1) * w_dim1], ldw, &
+			c_b2, &a[i__ * a_dim1 + 1], &c__1);
+		i__2 = *n - i__;
+		clacgv_(&i__2, &w[i__ + (iw + 1) * w_dim1], ldw);
+		i__2 = *n - i__;
+		clacgv_(&i__2, &a[i__ + (i__ + 1) * a_dim1], lda);
+		i__2 = *n - i__;
+		q__1.r = -1.f, q__1.i = -0.f;
+		cgemv_("No transpose", &i__, &i__2, &q__1, &w[(iw + 1) * 
+			w_dim1 + 1], ldw, &a[i__ + (i__ + 1) * a_dim1], lda, &
+			c_b2, &a[i__ * a_dim1 + 1], &c__1);
+		i__2 = *n - i__;
+		clacgv_(&i__2, &a[i__ + (i__ + 1) * a_dim1], lda);
+		i__2 = i__ + i__ * a_dim1;
+		i__3 = i__ + i__ * a_dim1;
+		r__1 = a[i__3].r;
+		a[i__2].r = r__1, a[i__2].i = 0.f;
+	    }
+	    if (i__ > 1) {
+
+/*              Generate elementary reflector H(i) to annihilate */
+/*              A(1:i-2,i) */
+
+		i__2 = i__ - 1 + i__ * a_dim1;
+		alpha.r = a[i__2].r, alpha.i = a[i__2].i;
+		i__2 = i__ - 1;
+		clarfg_(&i__2, &alpha, &a[i__ * a_dim1 + 1], &c__1, &tau[i__ 
+			- 1]);
+		i__2 = i__ - 1;
+		e[i__2] = alpha.r;
+		i__2 = i__ - 1 + i__ * a_dim1;
+		a[i__2].r = 1.f, a[i__2].i = 0.f;
+
+/*              Compute W(1:i-1,i) */
+
+		i__2 = i__ - 1;
+		chemv_("Upper", &i__2, &c_b2, &a[a_offset], lda, &a[i__ * 
+			a_dim1 + 1], &c__1, &c_b1, &w[iw * w_dim1 + 1], &c__1);
+		if (i__ < *n) {
+		    i__2 = i__ - 1;
+		    i__3 = *n - i__;
+		    cgemv_("Conjugate transpose", &i__2, &i__3, &c_b2, &w[(iw 
+			    + 1) * w_dim1 + 1], ldw, &a[i__ * a_dim1 + 1], &
+			    c__1, &c_b1, &w[i__ + 1 + iw * w_dim1], &c__1);
+		    i__2 = i__ - 1;
+		    i__3 = *n - i__;
+		    q__1.r = -1.f, q__1.i = -0.f;
+		    cgemv_("No transpose", &i__2, &i__3, &q__1, &a[(i__ + 1) *
+			     a_dim1 + 1], lda, &w[i__ + 1 + iw * w_dim1], &
+			    c__1, &c_b2, &w[iw * w_dim1 + 1], &c__1);
+		    i__2 = i__ - 1;
+		    i__3 = *n - i__;
+		    cgemv_("Conjugate transpose", &i__2, &i__3, &c_b2, &a[(
+			    i__ + 1) * a_dim1 + 1], lda, &a[i__ * a_dim1 + 1], 
+			     &c__1, &c_b1, &w[i__ + 1 + iw * w_dim1], &c__1);
+		    i__2 = i__ - 1;
+		    i__3 = *n - i__;
+		    q__1.r = -1.f, q__1.i = -0.f;
+		    cgemv_("No transpose", &i__2, &i__3, &q__1, &w[(iw + 1) * 
+			    w_dim1 + 1], ldw, &w[i__ + 1 + iw * w_dim1], &
+			    c__1, &c_b2, &w[iw * w_dim1 + 1], &c__1);
+		}
+		i__2 = i__ - 1;
+		cscal_(&i__2, &tau[i__ - 1], &w[iw * w_dim1 + 1], &c__1);
+		q__3.r = -.5f, q__3.i = -0.f;
+		i__2 = i__ - 1;
+		q__2.r = q__3.r * tau[i__2].r - q__3.i * tau[i__2].i, q__2.i =
+			 q__3.r * tau[i__2].i + q__3.i * tau[i__2].r;
+		i__3 = i__ - 1;
+		cdotc_(&q__4, &i__3, &w[iw * w_dim1 + 1], &c__1, &a[i__ * 
+			a_dim1 + 1], &c__1);
+		q__1.r = q__2.r * q__4.r - q__2.i * q__4.i, q__1.i = q__2.r * 
+			q__4.i + q__2.i * q__4.r;
+		alpha.r = q__1.r, alpha.i = q__1.i;
+		i__2 = i__ - 1;
+		caxpy_(&i__2, &alpha, &a[i__ * a_dim1 + 1], &c__1, &w[iw * 
+			w_dim1 + 1], &c__1);
+	    }
+
+/* L10: */
+	}
+    } else {
+
+/*        Reduce first NB columns of lower triangle */
+
+	i__1 = *nb;
+	for (i__ = 1; i__ <= i__1; ++i__) {
+
+/*           Update A(i:n,i) */
+
+	    i__2 = i__ + i__ * a_dim1;
+	    i__3 = i__ + i__ * a_dim1;
+	    r__1 = a[i__3].r;
+	    a[i__2].r = r__1, a[i__2].i = 0.f;
+	    i__2 = i__ - 1;
+	    clacgv_(&i__2, &w[i__ + w_dim1], ldw);
+	    i__2 = *n - i__ + 1;
+	    i__3 = i__ - 1;
+	    q__1.r = -1.f, q__1.i = -0.f;
+	    cgemv_("No transpose", &i__2, &i__3, &q__1, &a[i__ + a_dim1], lda, 
+		     &w[i__ + w_dim1], ldw, &c_b2, &a[i__ + i__ * a_dim1], &
+		    c__1);
+	    i__2 = i__ - 1;
+	    clacgv_(&i__2, &w[i__ + w_dim1], ldw);
+	    i__2 = i__ - 1;
+	    clacgv_(&i__2, &a[i__ + a_dim1], lda);
+	    i__2 = *n - i__ + 1;
+	    i__3 = i__ - 1;
+	    q__1.r = -1.f, q__1.i = -0.f;
+	    cgemv_("No transpose", &i__2, &i__3, &q__1, &w[i__ + w_dim1], ldw, 
+		     &a[i__ + a_dim1], lda, &c_b2, &a[i__ + i__ * a_dim1], &
+		    c__1);
+	    i__2 = i__ - 1;
+	    clacgv_(&i__2, &a[i__ + a_dim1], lda);
+	    i__2 = i__ + i__ * a_dim1;
+	    i__3 = i__ + i__ * a_dim1;
+	    r__1 = a[i__3].r;
+	    a[i__2].r = r__1, a[i__2].i = 0.f;
+	    if (i__ < *n) {
+
+/*              Generate elementary reflector H(i) to annihilate */
+/*              A(i+2:n,i) */
+
+		i__2 = i__ + 1 + i__ * a_dim1;
+		alpha.r = a[i__2].r, alpha.i = a[i__2].i;
+		i__2 = *n - i__;
+/* Computing MIN */
+		i__3 = i__ + 2;
+		clarfg_(&i__2, &alpha, &a[min(i__3, *n)+ i__ * a_dim1], &c__1, 
+			 &tau[i__]);
+		i__2 = i__;
+		e[i__2] = alpha.r;
+		i__2 = i__ + 1 + i__ * a_dim1;
+		a[i__2].r = 1.f, a[i__2].i = 0.f;
+
+/*              Compute W(i+1:n,i) */
+
+		i__2 = *n - i__;
+		chemv_("Lower", &i__2, &c_b2, &a[i__ + 1 + (i__ + 1) * a_dim1]
+, lda, &a[i__ + 1 + i__ * a_dim1], &c__1, &c_b1, &w[
+			i__ + 1 + i__ * w_dim1], &c__1);
+		i__2 = *n - i__;
+		i__3 = i__ - 1;
+		cgemv_("Conjugate transpose", &i__2, &i__3, &c_b2, &w[i__ + 1 
+			+ w_dim1], ldw, &a[i__ + 1 + i__ * a_dim1], &c__1, &
+			c_b1, &w[i__ * w_dim1 + 1], &c__1);
+		i__2 = *n - i__;
+		i__3 = i__ - 1;
+		q__1.r = -1.f, q__1.i = -0.f;
+		cgemv_("No transpose", &i__2, &i__3, &q__1, &a[i__ + 1 + 
+			a_dim1], lda, &w[i__ * w_dim1 + 1], &c__1, &c_b2, &w[
+			i__ + 1 + i__ * w_dim1], &c__1);
+		i__2 = *n - i__;
+		i__3 = i__ - 1;
+		cgemv_("Conjugate transpose", &i__2, &i__3, &c_b2, &a[i__ + 1 
+			+ a_dim1], lda, &a[i__ + 1 + i__ * a_dim1], &c__1, &
+			c_b1, &w[i__ * w_dim1 + 1], &c__1);
+		i__2 = *n - i__;
+		i__3 = i__ - 1;
+		q__1.r = -1.f, q__1.i = -0.f;
+		cgemv_("No transpose", &i__2, &i__3, &q__1, &w[i__ + 1 + 
+			w_dim1], ldw, &w[i__ * w_dim1 + 1], &c__1, &c_b2, &w[
+			i__ + 1 + i__ * w_dim1], &c__1);
+		i__2 = *n - i__;
+		cscal_(&i__2, &tau[i__], &w[i__ + 1 + i__ * w_dim1], &c__1);
+		q__3.r = -.5f, q__3.i = -0.f;
+		i__2 = i__;
+		q__2.r = q__3.r * tau[i__2].r - q__3.i * tau[i__2].i, q__2.i =
+			 q__3.r * tau[i__2].i + q__3.i * tau[i__2].r;
+		i__3 = *n - i__;
+		cdotc_(&q__4, &i__3, &w[i__ + 1 + i__ * w_dim1], &c__1, &a[
+			i__ + 1 + i__ * a_dim1], &c__1);
+		q__1.r = q__2.r * q__4.r - q__2.i * q__4.i, q__1.i = q__2.r * 
+			q__4.i + q__2.i * q__4.r;
+		alpha.r = q__1.r, alpha.i = q__1.i;
+		i__2 = *n - i__;
+		caxpy_(&i__2, &alpha, &a[i__ + 1 + i__ * a_dim1], &c__1, &w[
+			i__ + 1 + i__ * w_dim1], &c__1);
+	    }
+
+/* L20: */
+	}
+    }
+
+    return 0;
+
+/*     End of CLATRD */
+
+} /* clatrd_ */