[] add metering mode to CLI

1 files changed, 190 insertions, 0 deletions

diff --git a/contrib/libs/clapack/zlarnv.c b/contrib/libs/clapack/zlarnv.c
new file mode 100644
index 0000000000..2e4e257a88
--- /dev/null
+++ b/contrib/libs/clapack/zlarnv.c
@@ -0,0 +1,190 @@
+/* zlarnv.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"
+
+/* Subroutine */ int zlarnv_(integer *idist, integer *iseed, integer *n, 
+	doublecomplex *x)
+{
+    /* System generated locals */
+    integer i__1, i__2, i__3, i__4, i__5;
+    doublereal d__1, d__2;
+    doublecomplex z__1, z__2, z__3;
+
+    /* Builtin functions */
+    double log(doublereal), sqrt(doublereal);
+    void z_exp(doublecomplex *, doublecomplex *);
+
+    /* Local variables */
+    integer i__;
+    doublereal u[128];
+    integer il, iv;
+    extern /* Subroutine */ int dlaruv_(integer *, integer *, doublereal *);
+
+
+/*  -- LAPACK auxiliary routine (version 3.2) -- */
+/*     Univ. of Tennessee, Univ. of California Berkeley and NAG Ltd.. */
+/*     November 2006 */
+
+/*     .. Scalar Arguments .. */
+/*     .. */
+/*     .. Array Arguments .. */
+/*     .. */
+
+/*  Purpose */
+/*  ======= */
+
+/*  ZLARNV returns a vector of n random complex numbers from a uniform or */
+/*  normal distribution. */
+
+/*  Arguments */
+/*  ========= */
+
+/*  IDIST   (input) INTEGER */
+/*          Specifies the distribution of the random numbers: */
+/*          = 1:  real and imaginary parts each uniform (0,1) */
+/*          = 2:  real and imaginary parts each uniform (-1,1) */
+/*          = 3:  real and imaginary parts each normal (0,1) */
+/*          = 4:  uniformly distributed on the disc abs(z) < 1 */
+/*          = 5:  uniformly distributed on the circle abs(z) = 1 */
+
+/*  ISEED   (input/output) INTEGER array, dimension (4) */
+/*          On entry, the seed of the random number generator; the array */
+/*          elements must be between 0 and 4095, and ISEED(4) must be */
+/*          odd. */
+/*          On exit, the seed is updated. */
+
+/*  N       (input) INTEGER */
+/*          The number of random numbers to be generated. */
+
+/*  X       (output) COMPLEX*16 array, dimension (N) */
+/*          The generated random numbers. */
+
+/*  Further Details */
+/*  =============== */
+
+/*  This routine calls the auxiliary routine DLARUV to generate random */
+/*  real numbers from a uniform (0,1) distribution, in batches of up to */
+/*  128 using vectorisable code. The Box-Muller method is used to */
+/*  transform numbers from a uniform to a normal distribution. */
+
+/*  ===================================================================== */
+
+/*     .. Parameters .. */
+/*     .. */
+/*     .. Local Scalars .. */
+/*     .. */
+/*     .. Local Arrays .. */
+/*     .. */
+/*     .. Intrinsic Functions .. */
+/*     .. */
+/*     .. External Subroutines .. */
+/*     .. */
+/*     .. Executable Statements .. */
+
+    /* Parameter adjustments */
+    --x;
+    --iseed;
+
+    /* Function Body */
+    i__1 = *n;
+    for (iv = 1; iv <= i__1; iv += 64) {
+/* Computing MIN */
+	i__2 = 64, i__3 = *n - iv + 1;
+	il = min(i__2,i__3);
+
+/*        Call DLARUV to generate 2*IL real numbers from a uniform (0,1) */
+/*        distribution (2*IL <= LV) */
+
+	i__2 = il << 1;
+	dlaruv_(&iseed[1], &i__2, u);
+
+	if (*idist == 1) {
+
+/*           Copy generated numbers */
+
+	    i__2 = il;
+	    for (i__ = 1; i__ <= i__2; ++i__) {
+		i__3 = iv + i__ - 1;
+		i__4 = (i__ << 1) - 2;
+		i__5 = (i__ << 1) - 1;
+		z__1.r = u[i__4], z__1.i = u[i__5];
+		x[i__3].r = z__1.r, x[i__3].i = z__1.i;
+/* L10: */
+	    }
+	} else if (*idist == 2) {
+
+/*           Convert generated numbers to uniform (-1,1) distribution */
+
+	    i__2 = il;
+	    for (i__ = 1; i__ <= i__2; ++i__) {
+		i__3 = iv + i__ - 1;
+		d__1 = u[(i__ << 1) - 2] * 2. - 1.;
+		d__2 = u[(i__ << 1) - 1] * 2. - 1.;
+		z__1.r = d__1, z__1.i = d__2;
+		x[i__3].r = z__1.r, x[i__3].i = z__1.i;
+/* L20: */
+	    }
+	} else if (*idist == 3) {
+
+/*           Convert generated numbers to normal (0,1) distribution */
+
+	    i__2 = il;
+	    for (i__ = 1; i__ <= i__2; ++i__) {
+		i__3 = iv + i__ - 1;
+		d__1 = sqrt(log(u[(i__ << 1) - 2]) * -2.);
+		d__2 = u[(i__ << 1) - 1] * 6.2831853071795864769252867663;
+		z__3.r = 0., z__3.i = d__2;
+		z_exp(&z__2, &z__3);
+		z__1.r = d__1 * z__2.r, z__1.i = d__1 * z__2.i;
+		x[i__3].r = z__1.r, x[i__3].i = z__1.i;
+/* L30: */
+	    }
+	} else if (*idist == 4) {
+
+/*           Convert generated numbers to complex numbers uniformly */
+/*           distributed on the unit disk */
+
+	    i__2 = il;
+	    for (i__ = 1; i__ <= i__2; ++i__) {
+		i__3 = iv + i__ - 1;
+		d__1 = sqrt(u[(i__ << 1) - 2]);
+		d__2 = u[(i__ << 1) - 1] * 6.2831853071795864769252867663;
+		z__3.r = 0., z__3.i = d__2;
+		z_exp(&z__2, &z__3);
+		z__1.r = d__1 * z__2.r, z__1.i = d__1 * z__2.i;
+		x[i__3].r = z__1.r, x[i__3].i = z__1.i;
+/* L40: */
+	    }
+	} else if (*idist == 5) {
+
+/*           Convert generated numbers to complex numbers uniformly */
+/*           distributed on the unit circle */
+
+	    i__2 = il;
+	    for (i__ = 1; i__ <= i__2; ++i__) {
+		i__3 = iv + i__ - 1;
+		d__1 = u[(i__ << 1) - 1] * 6.2831853071795864769252867663;
+		z__2.r = 0., z__2.i = d__1;
+		z_exp(&z__1, &z__2);
+		x[i__3].r = z__1.r, x[i__3].i = z__1.i;
+/* L50: */
+	    }
+	}
+/* L60: */
+    }
+    return 0;
+
+/*     End of ZLARNV */
+
+} /* zlarnv_ */