struct SubSig *I_NewSubSig(struct SigSet *S, struct ClassSig *C)
{
struct SubSig *Sp;
int i;
if (C->nsubclasses == 0)
C->SubSig = (struct SubSig *)G_malloc(sizeof(struct SubSig));
else
C->SubSig = (struct SubSig *)G_realloc((char *)C->SubSig,
sizeof(struct SubSig) *
(C->nsubclasses + 1));
Sp = &C->SubSig[C->nsubclasses++];
Sp->used = 1;
Sp->R = (double **)G_calloc(S->nbands, sizeof(double *));
Sp->R[0] = (double *)G_calloc(S->nbands * S->nbands, sizeof(double));
for (i = 1; i < S->nbands; i++)
Sp->R[i] = Sp->R[i - 1] + S->nbands;
Sp->Rinv = (double **)G_calloc(S->nbands, sizeof(double *));
Sp->Rinv[0] = (double *)G_calloc(S->nbands * S->nbands, sizeof(double));
for (i = 1; i < S->nbands; i++)
Sp->Rinv[i] = Sp->Rinv[i - 1] + S->nbands;
Sp->means = (double *)G_calloc(S->nbands, sizeof(double));
Sp->N = 0;
Sp->pi = 0;
Sp->cnst = 0;
return Sp;
}
/*!
\brief Thin line
For now, just eliminate points at regular interval
\param gln line (geoline)
\param factor
\return pointer to geoline struct
\return NULL on failure
*/
static geoline *thin_line(geoline * gln, float factor)
{
geoline *newln;
int i, nextp, targp;
newln = (geoline *) G_malloc(sizeof(geoline)); /* G_fatal_error */
if (!newln) {
return (NULL);
}
targp = (int)(gln->npts / factor);
if (targp < 2) {
targp = 2;
}
newln->npts = targp;
if (2 == (newln->dims = gln->dims)) {
newln->p2 = (Point2 *) G_calloc(targp, sizeof(Point2)); /* G_fatal_error */
if (!newln->p2) {
return (NULL);
}
for (i = 0; i < targp; i++) {
if (i == targp - 1) {
nextp = gln->npts - 1; /* avoid rounding error */
}
else {
nextp = (int)((i * (gln->npts - 1)) / (targp - 1));
}
newln->p2[i][X] = gln->p2[nextp][X];
newln->p2[i][Y] = gln->p2[nextp][Y];
}
}
else {
newln->p3 = (Point3 *) G_calloc(targp, sizeof(Point3)); /* G_fatal_error */
if (!newln->p3) {
return (NULL);
}
for (i = 0; i < targp; i++) {
if (i == targp - 1) {
nextp = gln->npts - 1; /* avoid rounding error */
}
else {
nextp = (int)((i * (gln->npts - 1)) / (targp - 1));
}
newln->p3[i][X] = gln->p3[nextp][X];
newln->p3[i][Y] = gln->p3[nextp][Y];
newln->p3[i][Z] = gln->p3[nextp][Z];
}
}
newln->next = NULL;
return (newln);
}
int o_alloc_bufs(int ncols, int size)
{
buffer[0] = (void *)G_calloc(ncols, size);
buffer[1] = (void *)G_calloc(ncols, size);
return 0;
}
/*!
* \brief Allocate memory for a quadratic or not quadratic linear equation system
*
* The type of the linear equation system must be G_MATH_NORMAL_LES for
* a regular quadratic matrix or G_MATH_SPARSE_LES for a sparse matrix
*
* <p>
* In case of G_MATH_NORMAL_LES
*
* A quadratic matrix of size rows*rows*sizeof(double) will allocated
*
* <p>
* In case of G_MATH_SPARSE_LES
*
* a vector of size row will be allocated, ready to hold additional allocated sparse vectors.
* each sparse vector may have a different size.
*
* Parameter parts defines which parts of the les should be allocated.
* The number of columns and rows defines if the matrix is quadratic.
*
* \param rows int
* \param cols int
* \param type int
* \param parts int -- 2 = A, x and b; 1 = A and x; 0 = A allocated
* \return G_math_les *
*
* */
G_math_les *G_math_alloc_les_param(int rows, int cols, int type, int parts)
{
G_math_les *les;
if (type == G_MATH_SPARSE_LES)
G_debug(
2,
"Allocate memory for a sparse linear equation system with %i rows\n",
rows);
else
G_debug(
2,
"Allocate memory for a regular linear equation system with %i rows and %i cols\n",
rows, cols);
les = (G_math_les *) G_calloc(1, sizeof(G_math_les));
les->x = NULL;
les->b = NULL;
if (parts > 0)
{
les->x = (double *)G_calloc(cols, sizeof(double));
}
if (parts > 1)
{
les->b = (double *)G_calloc(cols, sizeof(double));
}
les->A = NULL;
les->data = NULL;
les->Asp = NULL;
les->rows = rows;
les->cols = cols;
les->symm = 0;
les->bandwith = cols;
if (rows == cols)
les->quad = 1;
else
les->quad = 0;
if (type == G_MATH_SPARSE_LES)
{
les->Asp = (G_math_spvector **) G_calloc(rows,
sizeof(G_math_spvector *));
les->type = G_MATH_SPARSE_LES;
}
else
{
les->A = G_alloc_matrix(rows, cols);
/*save the start pointer of the matrix*/
les->data = les->A[0];
les->type = G_MATH_NORMAL_LES;
}
return les;
}
static void initialize_bins(void)
{
int cat;
G_message(_("Computing bins"));
for (cat = 0; cat < num_cats; cat++) {
struct basecat *bc = &basecats[cat];
int slot;
double next;
int num_values = 0;
int bin = 0;
unsigned long accum = 0;
int quant = 0;
bc->bins = G_calloc(num_quants, sizeof(struct bin));
bc->slot_bins = G_calloc(num_slots, sizeof(unsigned char));
next = get_quantile(bc, quant);
for (slot = 0; slot < num_slots; slot++) {
unsigned int count = bc->slots[slot];
unsigned long accum2 = accum + count;
if (accum2 > next) {
struct bin *b = &bc->bins[bin];
bc->slot_bins[slot] = ++bin;
b->origin = accum;
b->base = num_values;
b->count = 0;
b->min = min + slot_size * slot;
b->max = min + slot_size * (slot + 1);
while (accum2 > next)
next = get_quantile(bc, ++quant);
num_values += count;
}
accum = accum2;
}
bc->num_values = num_values;
bc->num_bins = bin;
G_free(bc->slots);
bc->values = G_calloc(num_values, sizeof(DCELL));
}
}
/*!
* \brief Allocate memory for a N_array_2d data structure.
*
* This function allocates memory for an array of type N_array_2d
* and returns the pointer to the new allocated memory.
* <br><br>
* The data type of this array is set by "type" and must be
* CELL_TYPE, FCELL_TYPE or DCELL_TYPE accordingly to the raster map data types.
* The offset sets the number of boundary cols and rows.
* This option is useful to generate homogeneous Neumann boundary conditions around
* an array or to establish overlapping boundaries. The array is initialized with 0 by default.
* <br><br>
* If the offset is greater then 0, negative indices are possible.
* <br><br>
*
* The data structure of a array with 3 rows and cols and an offset of 1
* will looks like this:
* <br><br>
*
\verbatim
0 0 0 0 0
0 0 1 2 0
0 3 4 5 0
0 6 7 8 0
0 0 0 0 0
\endverbatim
*
* 0 is the boundary.
* <br><br>
* Internal a one dimensional array is allocated to save memory and to speed up the memory access.
* To access the one dimensional array with a two dimensional index use the provided
* get and put functions. The internal representation of the above data will look like this:
*
\verbatim
0 0 0 0 0 0 0 1 2 0 0 3 4 5 0 0 6 7 8 0 0 0 0 0 0
\endverbatim
*
* \param cols int
* \param rows int
* \param offset int
* \param type int
* \return N_array_2d *
*
* */
N_array_2d *N_alloc_array_2d(int cols, int rows, int offset, int type)
{
N_array_2d *data = NULL;
if (rows < 1 || cols < 1)
G_fatal_error("N_alloc_array_2d: cols and rows should be > 0");
if (type != CELL_TYPE && type != FCELL_TYPE && type != DCELL_TYPE)
G_fatal_error
("N_alloc_array_2d: Wrong data type, should be CELL_TYPE, FCELL_TYPE or DCELL_TYPE");
data = (N_array_2d *) G_calloc(1, sizeof(N_array_2d));
data->cols = cols;
data->rows = rows;
data->type = type;
data->offset = offset;
data->rows_intern = rows + 2 * offset; /*offset position at booth sides */
data->cols_intern = cols + 2 * offset; /*offset position at booth sides */
data->cell_array = NULL;
data->fcell_array = NULL;
data->dcell_array = NULL;
if (data->type == CELL_TYPE) {
data->cell_array =
(CELL *) G_calloc((size_t) data->rows_intern * data->cols_intern,
sizeof(CELL));
G_debug(3,
"N_alloc_array_2d: CELL array allocated rows_intern %i cols_intern %i offset %i",
data->rows_intern, data->cols_intern, data->offset = offset);
}
else if (data->type == FCELL_TYPE) {
data->fcell_array =
(FCELL *) G_calloc((size_t) data->rows_intern * data->cols_intern,
sizeof(FCELL));
G_debug(3,
"N_alloc_array_2d: FCELL array allocated rows_intern %i cols_intern %i offset %i",
data->rows_intern, data->cols_intern, data->offset = offset);
}
else if (data->type == DCELL_TYPE) {
data->dcell_array =
(DCELL *) G_calloc((size_t) data->rows_intern * data->cols_intern,
sizeof(DCELL));
G_debug(3,
"N_alloc_array_2d: DCELL array allocated rows_intern %i cols_intern %i offset %i",
data->rows_intern, data->cols_intern, data->offset = offset);
}
return data;
}
struct Stats alloc_Stats(int n)
{
double *err, *stm;
struct Stats stat;
stat.n_points = n;
err = (double *)G_calloc(n, sizeof(double));
stm = (double *)G_calloc(n, sizeof(double));
stat.error = err;
stat.estima = stm;
return stat;
}
void filldir(int fe, int fd, int nl, struct band3 *bnd, struct metrics *m)
{
int i, bufsz;
CELL *dir;
/* determine the flow direction in each cell. On outer rows and columns
* the flow direction is always directly out of the map */
dir = G_calloc(bnd->ns, sizeof(CELL));
bufsz = bnd->ns * sizeof(CELL);
lseek(fe, 0, SEEK_SET);
lseek(fd, 0, SEEK_SET);
advance_band3(fe, bnd);
for (i = 0; i < nl; i += 1) {
advance_band3(fe, bnd);
build_one_row(i, nl, bnd->ns, bnd, dir, m[i]);
write(fd, dir, bufsz);
}
advance_band3(fe, bnd);
build_one_row(i, nl, bnd->ns, bnd, dir, m[i]);
write(fd, dir, bufsz);
G_free(dir);
return;
}
FLAG *FlagCreate(int nrows, int ncols)
{
unsigned char *temp;
FLAG *new_flag;
register int i;
new_flag = (FLAG *) G_malloc(sizeof(FLAG));
new_flag->nrows = nrows;
new_flag->ncols = ncols;
new_flag->leng = (ncols + 7) / 8;
new_flag->array =
(unsigned char **)G_malloc(nrows * sizeof(unsigned char *));
temp =
(unsigned char *)G_calloc(nrows * new_flag->leng,
sizeof(unsigned char));
for (i = 0; i < nrows; i++) {
new_flag->array[i] = temp;
temp += new_flag->leng;
}
return (new_flag);
}
vec_struct *G_vector_init(int cells, int ldim, vtype vt)
{
vec_struct *tmp_arry;
if ((cells < 1) || (vt == RVEC && ldim < 1)
|| (vt == CVEC && ldim < cells) || ldim < 0) {
G_warning("Vector dimensions out of range.");
return NULL;
}
tmp_arry = (vec_struct *) G_malloc(sizeof(vec_struct));
if (vt == RVEC) {
tmp_arry->rows = 1;
tmp_arry->cols = cells;
tmp_arry->ldim = ldim;
tmp_arry->type = ROWVEC_;
}
else if (vt == CVEC) {
tmp_arry->rows = cells;
tmp_arry->cols = 1;
tmp_arry->ldim = ldim;
tmp_arry->type = COLVEC_;
}
tmp_arry->v_indx = 0;
tmp_arry->vals = (doublereal *) G_calloc(ldim * tmp_arry->cols,
sizeof(doublereal));
tmp_arry->is_init = 1;
return tmp_arry;
}
void *dig__frealloc(void *oldptr, int nelem, int elsize, int oldnelem)
{
char *ptr;
if (elsize == 0) {
elsize = 4;
}
if (nelem == 0) {
nelem = 1;
}
ptr = G_calloc(nelem, elsize);
/* out of memory */
if (!ptr)
return (ptr);
{
register char *a;
register char *b;
register size_t n;
n = oldnelem * elsize;
a = ptr;
b = oldptr;
while (n--)
*a++ = *b++;
}
G_free(oldptr);
return (ptr);
}
N_solute_transport_data2d *N_alloc_solute_transport_data2d(int cols, int rows)
{
N_solute_transport_data2d *data = NULL;
data =
(N_solute_transport_data2d *) G_calloc(1,
sizeof
(N_solute_transport_data2d));
data->c = N_alloc_array_2d(cols, rows, 1, DCELL_TYPE);
data->c_start = N_alloc_array_2d(cols, rows, 1, DCELL_TYPE);
data->status = N_alloc_array_2d(cols, rows, 1, DCELL_TYPE);
data->diff_x = N_alloc_array_2d(cols, rows, 1, DCELL_TYPE);
data->diff_y = N_alloc_array_2d(cols, rows, 1, DCELL_TYPE);
data->q = N_alloc_array_2d(cols, rows, 1, DCELL_TYPE);
data->cs = N_alloc_array_2d(cols, rows, 1, DCELL_TYPE);
data->R = N_alloc_array_2d(cols, rows, 1, DCELL_TYPE);
data->nf = N_alloc_array_2d(cols, rows, 1, DCELL_TYPE);
data->cin = N_alloc_array_2d(cols, rows, 1, DCELL_TYPE);
data->top = N_alloc_array_2d(cols, rows, 1, DCELL_TYPE);
data->bottom = N_alloc_array_2d(cols, rows, 1, DCELL_TYPE);
/*Allocate the dispersivity tensor */
data->disp_xx = N_alloc_array_2d(cols, rows, 1, DCELL_TYPE);
data->disp_yy = N_alloc_array_2d(cols, rows, 1, DCELL_TYPE);
data->disp_xy = N_alloc_array_2d(cols, rows, 1, DCELL_TYPE);
data->grad = N_alloc_gradient_field_2d(cols, rows);
data->stab = N_UPWIND_EXP;
return data;
}
int sort_areas(struct Map_info *Map, struct line_pnts *Points,
int field, struct cat_list *cat_list)
{
int i, centroid, nareas_selected;
struct line_cats *Cats;
CELL cat;
G_begin_polygon_area_calculations();
Cats = Vect_new_cats_struct();
/* first count valid areas */
nareas = Vect_get_num_areas(Map);
if (nareas == 0)
return 0;
/* allocate list to hold valid area info */
list =
(struct list *)G_calloc(nareas * sizeof(char), sizeof(struct list));
/* store area size,cat,index in list */
nareas_selected = 0;
for (i = 0; i < nareas; i++) {
centroid = Vect_get_area_centroid(Map, i + 1);
SETNULL(&cat);
if (centroid <= 0) {
G_debug(2,_("Area without centroid (OK for island)"));
}
else {
Vect_read_line(Map, NULL, Cats, centroid);
if (field > 0) {
if (Vect_cats_in_constraint(Cats, field, cat_list)) {
Vect_cat_get(Cats, field, &cat);
nareas_selected++;
}
else {
G_debug(2, _("Area centroid without category"));
}
}
else {
/* field < 1, process all areas with centroid */
cat = 0;
nareas_selected++;
}
}
list[i].index = i + 1;
Vect_get_area_points(Map, i + 1, Points);
list[i].size =
G_area_of_polygon(Points->x, Points->y, Points->n_points);
list[i].cat = cat;
}
if (nareas_selected > 0) {
/* sort the list by size */
qsort(list, nareas * sizeof(char), sizeof(struct list), compare);
}
return nareas_selected;
}
int
G_bz2_compress(unsigned char *src, int src_sz, unsigned char *dst,
int dst_sz)
{
int err;
unsigned int i, nbytes, buf_sz;
unsigned char *buf;
#ifndef HAVE_BZLIB_H
G_fatal_error(_("GRASS needs to be compiled with BZIP2 for BZIP2 compression"));
return -1;
#else
/* Catch errors early */
if (src == NULL || dst == NULL)
return -1;
/* Don't do anything if src is empty */
if (src_sz <= 0)
return 0;
/* Output buffer has to be 1% + 600 bytes bigger for single pass compression */
buf_sz = (unsigned int)((double)dst_sz * 1.01 + (double)600);
if (NULL == (buf = (unsigned char *)
G_calloc(buf_sz, sizeof(unsigned char))))
return -1;
/* Do single pass compression */
nbytes = buf_sz;
err = BZ2_bzBuffToBuffCompress((char *)buf, &nbytes, /* destination */
(char *)src, src_sz, /* source */
9, /* blockSize100k */
0, /* verbosity */
0); /* workFactor */
if (err != BZ_OK) {
G_free(buf);
return -1;
}
/* updated buf_sz is bytes of compressed data */
if (nbytes >= (unsigned int)src_sz) {
/* compression not possible */
G_free(buf);
return -2;
}
/* dst too small */
if ((unsigned int)dst_sz < nbytes)
return -2;
/* Copy the data from buf to dst */
for (i = 0; i < nbytes; i++)
dst[i] = buf[i];
G_free(buf);
return nbytes;
#endif
} /* G_bz2_compress() */
/*!
* \brief Allocate memory for a N_array_3d data structure.
*
* This functions allocates an array of type N_array_3d and returns a pointer
* to the new allocated memory.
* <br><br>
* The data type of this array set by "type" must be
* FCELL_TYPE or DCELL_TYPE accordingly to the raster3d map data types.
* The offsets sets the number of boundary cols, rows and depths.
* This option is useful to generate homogeneous Neumann boundary conditions around
* an array or to establish overlapping boundaries. The arrays are initialized with 0 by default.
* <br><br>
* If the offset is greater then 0, negative indices are possible.
* The data structure of a array with 3 depths, rows and cols and an offset of 1
* will looks like this:
*
\verbatim
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 1 2 0
0 3 4 5 0
0 6 7 8 0
0 0 0 0 0
0 0 0 0 0
0 9 10 11 0
0 12 13 14 0
0 15 16 17 0
0 0 0 0 0
0 0 0 0 0
0 18 19 20 0
0 21 22 23 0
0 24 25 26 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0 0 0 0 0
\endverbatim
The depth counts from the bottom to the top.
* <br><br>
* Internal a one dimensional array is allocated to speed up the memory access.
* To access the dimensional array with a three dimensional indexing use the provided
* get and put functions.
*
* \param cols int
* \param rows int
* \param depths int
* \param offset int
* \param type int
* \return N_array_3d *
*
* */
N_array_3d *N_alloc_array_3d(int cols, int rows, int depths, int offset,
int type)
{
N_array_3d *data = NULL;
if (rows < 1 || cols < 1 || depths < 1)
G_fatal_error
("N_alloc_array_3d: depths, cols and rows should be > 0");
if (type != DCELL_TYPE && type != FCELL_TYPE)
G_fatal_error
("N_alloc_array_3d: Wrong data type, should be FCELL_TYPE or DCELL_TYPE");
data = (N_array_3d *) G_calloc(1, sizeof(N_array_3d));
data->cols = cols;
data->rows = rows;
data->depths = depths;
data->type = type;
data->offset = offset;
data->rows_intern = rows + 2 * offset;
data->cols_intern = cols + 2 * offset;
data->depths_intern = depths + 2 * offset;
data->fcell_array = NULL;
data->dcell_array = NULL;
if (data->type == FCELL_TYPE) {
data->fcell_array =
(float *)G_calloc((size_t) data->depths_intern * data->rows_intern *
data->cols_intern, sizeof(float));
G_debug(3,
"N_alloc_array_3d: float array allocated rows_intern %i cols_intern %i depths_intern %i offset %i",
data->rows_intern, data->cols_intern, data->depths_intern,
data->offset = offset);
}
else if (data->type == DCELL_TYPE) {
data->dcell_array =
(double *)G_calloc((size_t) data->depths_intern * data->rows_intern *
data->cols_intern, sizeof(double));
G_debug(3,
"N_alloc_array_3d: double array allocated rows_intern %i cols_intern %i depths_intern %i offset %i",
data->rows_intern, data->cols_intern, data->depths_intern,
data->offset = offset);
}
return data;
}
/*!
* \brief allocate a 9 point star data structure
*
* \return N_data_star *
*
* \attention The 9 point start is not yet implemented in the matrix assembling function
*
* */
N_data_star *N_alloc_9star(void)
{
N_data_star *star = (N_data_star *) G_calloc(1, sizeof(N_data_star));
star->type = N_9_POINT_STAR;
star->count = 9;
return star;
}
int G_zlib_read(int fd, int rbytes, unsigned char *dst, int nbytes)
{
int bsize, nread, err;
unsigned char *b;
if (dst == NULL || nbytes < 0)
return -2;
bsize = rbytes;
/* Our temporary input buffer for read */
if (NULL == (b = (unsigned char *)
G_calloc(bsize, sizeof(unsigned char))))
return -1;
/* Read from the file until we get our bsize or an error */
nread = 0;
do {
err = read(fd, b + nread, bsize - nread);
if (err >= 0)
nread += err;
} while (err > 0 && nread < bsize);
/* If the bsize if less than rbytes and we didn't get an error.. */
if (nread < rbytes && err > 0) {
G_free(b);
return -1;
}
/* Test if row is compressed */
if (b[0] == G_ZLIB_COMPRESSED_NO) {
/* Then just copy it to dst */
for (err = 0; err < nread - 1 && err < nbytes; err++)
dst[err] = b[err + 1];
G_free(b);
return (nread - 1);
}
else if (b[0] != G_ZLIB_COMPRESSED_YES) {
/* We're not at the start of a row */
G_free(b);
return -1;
}
/* Okay it's a compressed row */
/* Just call G_zlib_expand() with the buffer we read,
* Account for first byte being a flag
*/
err = G_zlib_expand(b + 1, bsize - 1, dst, nbytes);
/* We're done with b */
G_free(b);
/* Return whatever G_zlib_expand() returned */
return err;
} /* G_zlib_read() */
/*!
* \brief Allocate the structure holding the callback function
*
* A template callback is set. Use N_set_les_callback_2d_func
* to set up a specific function.
*
* \return N_les_callback_2d *
* */
N_les_callback_2d *N_alloc_les_callback_2d(void)
{
N_les_callback_2d *call;
call = (N_les_callback_2d *) G_calloc(1, sizeof(N_les_callback_2d *));
call->callback = N_callback_template_2d;
return call;
}
int can_invert(double **a, int n)
{
int i, imax = 0, j, k;
double big, dum, sum, temp;
double *vv;
vv = (double *)G_calloc(n, sizeof(double));
for (i = 0; i < n; i++) {
big = 0.0;
for (j = 0; j < n; j++)
if ((temp = fabs(a[i][j])) > big)
big = temp;
if (big == 0.0)
goto singular;
vv[i] = 1.0 / big;
}
for (j = 0; j < n; j++) {
for (i = 0; i < j; i++) {
sum = a[i][j];
for (k = 0; k < i; k++)
sum -= a[i][k] * a[k][j];
a[i][j] = sum;
}
big = 0.0;
for (i = j; i < n; i++) {
sum = a[i][j];
for (k = 0; k < j; k++)
sum -= a[i][k] * a[k][j];
a[i][j] = sum;
if ((dum = vv[i] * fabs(sum)) >= big) {
big = dum;
imax = i;
}
}
if (j != imax) {
for (k = 0; k < n; k++) {
dum = a[imax][k];
a[imax][k] = a[j][k];
a[j][k] = dum;
}
vv[imax] = vv[j];
}
if (a[j][j] == 0.0)
goto singular;
if (j != n - 1) {
dum = 1.0 / (a[j][j]);
for (i = j; i < n; i++)
a[i][j] *= dum;
}
}
G_free(vv);
return 1;
singular:
G_free(vv);
return 0;
}
void new_stats(char *name, struct Reclass *reclass)
{
struct Histogram histo, histo2;
struct Range range;
CELL cat, cat2;
int i;
CELL min, max;
min = reclass->min;
max = reclass->max;
/* read histogram for original file */
G_suppress_warnings(1);
i = G_read_histogram(reclass->name, reclass->mapset, &histo);
G_suppress_warnings(0);
if (i <= 0)
return;
/* compute data rage for reclass */
G_init_range(&range);
for (i = 0; i < histo.num; i++) {
cat = histo.list[i].cat;
if (cat < min || cat > max)
continue;
cat2 = reclass->table[cat - min];
G_update_range(cat2, &range);
}
G_write_range(name, &range);
/* now generate a histogram from the original */
/* allocate histogram list */
histo2.num += range.max - range.min + 1;
histo2.list = (LIST *) G_calloc(histo2.num, sizeof(LIST));
/* set all counts to 0 */
i = 0;
for (cat = range.min; cat <= range.max; cat++) {
histo2.list[i].cat = cat;
histo2.list[i++].count = 0;
}
/* go thru original histogram and add into histo2 */
for (i = 0; i < histo.num; i++) {
cat = histo.list[i].cat;
if (cat < min || cat > max)
G_set_c_null_value(&cat, 1);
else
cat2 = reclass->table[cat - min];
if (!G_is_c_null_value(&cat))
histo2.list[cat2 - range.min].count += histo.list[i].count;
}
G_write_histogram(name, &histo2);
}
/*!
* \brief Allocate the pde geometry data structure and return a pointer to the new allocated structure
*
* \return N_geom_data *
* */
N_geom_data *N_alloc_geom_data(void)
{
N_geom_data *geom = (N_geom_data *) G_calloc(1, sizeof(N_geom_data));
geom->area = NULL;
geom->planimetric = 1;
geom->dim = 0;
return geom;
}
static void create_temp_files(void)
{
zero_array_cell = (FCELL *) G_calloc(nsizc, sizeof(FCELL));
Tmp_fd_z = create_temp_file(elev, &Tmp_file_z );
Tmp_fd_dx = create_temp_file(slope, &Tmp_file_dx);
Tmp_fd_dy = create_temp_file(aspect, &Tmp_file_dy);
Tmp_fd_xx = create_temp_file(pcurv, &Tmp_file_xx);
Tmp_fd_yy = create_temp_file(tcurv, &Tmp_file_yy);
Tmp_fd_xy = create_temp_file(mcurv, &Tmp_file_xy);
}
char *falloc(int nelem, int elsize)
{
char *ptr;
ptr = G_calloc(nelem, elsize);
if (!ptr)
G_fatal_error("ERROR: no more memory available");
return (ptr);
}
G_math_f_les *G_math_alloc_f_les_param(int rows, int cols, int type, int parts)
{
G_math_f_les *les;
G_debug(
2,
"Allocate memory for a regular float linear equation system with %i rows\n",
rows);
les = (G_math_f_les *) G_calloc(1, sizeof(G_math_f_les));
les->x = NULL;
les->b = NULL;
if (parts > 0)
{
les->x = (float *)G_calloc(cols, sizeof(float));
}
if (parts > 1)
{
les->b = (float *)G_calloc(cols, sizeof(float));
}
les->A = NULL;
les->data = NULL;
les->rows = rows;
les->cols = cols;
les->symm = 0;
les->bandwith = cols;
if (rows == cols)
les->quad = 1;
else
les->quad = 0;
les->A = G_alloc_fmatrix(rows, cols);
/*save the start pointer of the matrix*/
les->data = les->A[0];
les->type = G_MATH_NORMAL_LES;
return les;
}
LIST *listitem(size_t size)
{
LIST *item;
item = G_calloc(1, size);
if (!item) {
G_fatal_error(_("Out of memory"));
exit(1);
}
return item;
}
/* *************************************************************** */
univar_stat *create_univar_stat_struct(int map_type, int n_perc)
{
univar_stat *stats;
int i;
int n_zones = zone_info.n_zones;
if (n_zones == 0)
n_zones = 1;
stats = (univar_stat *) G_calloc(n_zones, sizeof(univar_stat));
for (i = 0; i < n_zones; i++) {
stats[i].sum = 0.0;
stats[i].sumsq = 0.0;
stats[i].min = 0.0 / 0.0; /* set to nan as default */
stats[i].max = 0.0 / 0.0; /* set to nan as default */
stats[i].n_perc = n_perc;
if (n_perc > 0)
stats[i].perc = (double *)G_malloc(n_perc * sizeof(double));
else
stats[i].perc = NULL;
stats[i].sum_abs = 0.0;
stats[i].n = 0;
stats[i].size = 0;
stats[i].dcell_array = NULL;
stats[i].fcell_array = NULL;
stats[i].cell_array = NULL;
stats[i].map_type = map_type;
stats[i].n_alloc = 0;
stats[i].first = TRUE;
/* allocate memory for extended computation */
/* changed to on-demand block allocation */
/* if (param.extended->answer) {
if (map_type == DCELL_TYPE) {
stats[i].dcell_array = NULL;
}
else if (map_type == FCELL_TYPE) {
stats[i].fcell_array =NULL;
}
else if (map_type == CELL_TYPE) {
stats[i].cell_array = NULL;
}
}
*/
}
return stats;
}
int
transform(int *datafds, int *outfds, int rows, int cols,
double **eigmat, int bands, CELL *mins, CELL *maxs)
{
int i, j, k, l;
double *sum;
CELL **rowbufs;
sum = G_alloc_vector(bands);
rowbufs = (CELL**)G_calloc(bands, sizeof(CELL*));
/* allocate row buffers for each band */
for (i = 0; i < bands; i++)
if ((rowbufs[i] = Rast_allocate_c_buf()) == NULL)
G_fatal_error(_("Unable to allocate cell buffers."));
for (i = 0; i < rows; i++) {
/* get one row of data */
for (j = 0; j < bands; j++)
Rast_get_c_row(datafds[j], rowbufs[j], i);
/* transform each cell in the row */
for (l = 0; l < cols; l++) {
for (j = 0; j < bands; j++) {
sum[j] = 0.0;
for (k = 0; k < bands; k++) {
sum[j] += eigmat[j][k] * (double)rowbufs[k][l];
}
}
for (j = 0; j < bands; j++) {
rowbufs[j][l] = (CELL) (sum[j] + 0.5);
if (rowbufs[j][l] > maxs[j])
maxs[j] = rowbufs[j][l];
if (rowbufs[j][l] < mins[j])
mins[j] = rowbufs[j][l];
}
}
/* output the row of data */
for (j = 0; j < bands; j++)
Rast_put_row(outfds[j], rowbufs[j], CELL_TYPE);
}
for (i = 0; i < bands; i++)
G_free(rowbufs[i]);
G_free(rowbufs);
G_free_vector(sum);
G_message(_("Transform completed.\n"));
return 0;
}
/*!
\brief Copy line
\param gln source line (geoline)
\return pointer to geoline struct
\return on failure
*/
static geoline *copy_line(geoline * gln)
{
geoline *newln;
int i, np;
newln = (geoline *) G_malloc(sizeof(geoline)); /* G_fatal_error */
if (!newln) {
return (NULL);
}
np = newln->npts = gln->npts;
if (2 == (newln->dims = gln->dims)) {
newln->p2 = (Point2 *) G_calloc(np, sizeof(Point2)); /* G_fatal_error */
if (!newln->p2) {
return (NULL);
}
for (i = 0; i < np; i++) {
newln->p2[i][X] = gln->p2[i][X];
newln->p2[i][Y] = gln->p2[i][Y];
}
}
else {
newln->p3 = (Point3 *) G_calloc(np, sizeof(Point3)); /* G_fatal_error */
if (!newln->p3) {
return (NULL);
}
for (i = 0; i < np; i++) {
newln->p3[i][X] = gln->p3[i][X];
newln->p3[i][Y] = gln->p3[i][Y];
newln->p3[i][Z] = gln->p3[i][Z];
}
}
newln->next = NULL;
return (newln);
}
/**
* \brief Insert map information into tgisMapList
*
* This function alocates a tgisMap, fills it with the provided information
* and adds it to the list.
* In case allocation fails, G_fatal_error() will be invoked by the
* allocation function.
*
* All arguments are deep copied to the new allocated tgisMap struct.
*
* \param list The tgisMapList pointer
* \param name The name of the map
* \param mapset The name of the mapset
* \param ts A pointer to the timestamp of the map
*
* */
void tgis_map_list_insert(tgisMapList *list, char *name, char*mapset, struct TimeStamp *ts)
{
tgisMap *map = G_calloc(1, sizeof(tgisMap));
map->name = G_store(name);
map->mapset = G_store(mapset);
if(ts->count == 1)
G_set_timestamp(&(map->ts), &(ts->dt[0]));
if(ts->count == 2)
G_set_timestamp_range(&(map->ts), &(ts->dt[0]), &(ts->dt[1]));
tgis_map_list_add(list, map);
}
void *dig__falloc(int nelem, int elsize)
{
char *ptr;
if (elsize == 0) {
elsize = 4;
}
if (nelem == 0) {
nelem = 1;
}
ptr = G_calloc(nelem, elsize);
return (ptr);
}