File: zlarnv.c

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ruby-lapack 1.8.2-1
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#include "rb_lapack.h"

extern VOID zlarnv_(integer* idist, integer* iseed, integer* n, doublecomplex* x);


static VALUE
rblapack_zlarnv(int argc, VALUE *argv, VALUE self){
  VALUE rblapack_idist;
  integer idist; 
  VALUE rblapack_iseed;
  integer *iseed; 
  VALUE rblapack_n;
  integer n; 
  VALUE rblapack_x;
  doublecomplex *x; 
  VALUE rblapack_iseed_out__;
  integer *iseed_out__;


  VALUE rblapack_options;
  if (argc > 0 && TYPE(argv[argc-1]) == T_HASH) {
    argc--;
    rblapack_options = argv[argc];
    if (rb_hash_aref(rblapack_options, sHelp) == Qtrue) {
      printf("%s\n", "USAGE:\n  x, iseed = NumRu::Lapack.zlarnv( idist, iseed, n, [:usage => usage, :help => help])\n\n\nFORTRAN MANUAL\n      SUBROUTINE ZLARNV( IDIST, ISEED, N, X )\n\n*  Purpose\n*  =======\n*\n*  ZLARNV returns a vector of n random complex numbers from a uniform or\n*  normal distribution.\n*\n\n*  Arguments\n*  =========\n*\n*  IDIST   (input) INTEGER\n*          Specifies the distribution of the random numbers:\n*          = 1:  real and imaginary parts each uniform (0,1)\n*          = 2:  real and imaginary parts each uniform (-1,1)\n*          = 3:  real and imaginary parts each normal (0,1)\n*          = 4:  uniformly distributed on the disc abs(z) < 1\n*          = 5:  uniformly distributed on the circle abs(z) = 1\n*\n*  ISEED   (input/output) INTEGER array, dimension (4)\n*          On entry, the seed of the random number generator; the array\n*          elements must be between 0 and 4095, and ISEED(4) must be\n*          odd.\n*          On exit, the seed is updated.\n*\n*  N       (input) INTEGER\n*          The number of random numbers to be generated.\n*\n*  X       (output) COMPLEX*16 array, dimension (N)\n*          The generated random numbers.\n*\n\n*  Further Details\n*  ===============\n*\n*  This routine calls the auxiliary routine DLARUV to generate random\n*  real numbers from a uniform (0,1) distribution, in batches of up to\n*  128 using vectorisable code. The Box-Muller method is used to\n*  transform numbers from a uniform to a normal distribution.\n*\n*  =====================================================================\n*\n\n");
      return Qnil;
    }
    if (rb_hash_aref(rblapack_options, sUsage) == Qtrue) {
      printf("%s\n", "USAGE:\n  x, iseed = NumRu::Lapack.zlarnv( idist, iseed, n, [:usage => usage, :help => help])\n");
      return Qnil;
    } 
  } else
    rblapack_options = Qnil;
  if (argc != 3 && argc != 3)
    rb_raise(rb_eArgError,"wrong number of arguments (%d for 3)", argc);
  rblapack_idist = argv[0];
  rblapack_iseed = argv[1];
  rblapack_n = argv[2];
  if (argc == 3) {
  } else if (rblapack_options != Qnil) {
  } else {
  }

  idist = NUM2INT(rblapack_idist);
  n = NUM2INT(rblapack_n);
  if (!NA_IsNArray(rblapack_iseed))
    rb_raise(rb_eArgError, "iseed (2th argument) must be NArray");
  if (NA_RANK(rblapack_iseed) != 1)
    rb_raise(rb_eArgError, "rank of iseed (2th argument) must be %d", 1);
  if (NA_SHAPE0(rblapack_iseed) != (4))
    rb_raise(rb_eRuntimeError, "shape 0 of iseed must be %d", 4);
  if (NA_TYPE(rblapack_iseed) != NA_LINT)
    rblapack_iseed = na_change_type(rblapack_iseed, NA_LINT);
  iseed = NA_PTR_TYPE(rblapack_iseed, integer*);
  {
    na_shape_t shape[1];
    shape[0] = MAX(1,n);
    rblapack_x = na_make_object(NA_DCOMPLEX, 1, shape, cNArray);
  }
  x = NA_PTR_TYPE(rblapack_x, doublecomplex*);
  {
    na_shape_t shape[1];
    shape[0] = 4;
    rblapack_iseed_out__ = na_make_object(NA_LINT, 1, shape, cNArray);
  }
  iseed_out__ = NA_PTR_TYPE(rblapack_iseed_out__, integer*);
  MEMCPY(iseed_out__, iseed, integer, NA_TOTAL(rblapack_iseed));
  rblapack_iseed = rblapack_iseed_out__;
  iseed = iseed_out__;

  zlarnv_(&idist, iseed, &n, x);

  return rb_ary_new3(2, rblapack_x, rblapack_iseed);
}

void
init_lapack_zlarnv(VALUE mLapack, VALUE sH, VALUE sU, VALUE zero){
  sHelp = sH;
  sUsage = sU;
  rblapack_ZERO = zero;

  rb_define_module_function(mLapack, "zlarnv", rblapack_zlarnv, -1);
}