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authorPauli Virtanen <pav@iki.fi>2014-01-02 22:12:01 +0200
committerPauli Virtanen <pav@iki.fi>2014-01-02 22:19:47 +0200
commit75c2d2fe3cc9daa6589707fb6b8512ffa48fc365 (patch)
tree32e729ca94dd28e06c7c2e10fd250f2ce4b91a2a /doc/f2py/multiarray/array_from_pyobj.c
parenta32807e61b25205cc08d552127234b56709c6242 (diff)
downloadnumpy-75c2d2fe3cc9daa6589707fb6b8512ffa48fc365.tar.gz
DOC: move f2py documentation under doc/ and link its user guide with Sphinx
Diffstat (limited to 'doc/f2py/multiarray/array_from_pyobj.c')
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diff --git a/doc/f2py/multiarray/array_from_pyobj.c b/doc/f2py/multiarray/array_from_pyobj.c
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+/*
+ * File: array_from_pyobj.c
+ *
+ * Description:
+ * ------------
+ * Provides array_from_pyobj function that returns a contigious array
+ * object with the given dimensions and required storage order, either
+ * in row-major (C) or column-major (Fortran) order. The function
+ * array_from_pyobj is very flexible about its Python object argument
+ * that can be any number, list, tuple, or array.
+ *
+ * array_from_pyobj is used in f2py generated Python extension
+ * modules.
+ *
+ * Author: Pearu Peterson <pearu@cens.ioc.ee>
+ * Created: 13-16 January 2002
+ * $Id: array_from_pyobj.c,v 1.1 2002/01/16 18:57:33 pearu Exp $
+ */
+
+
+#define ARR_IS_NULL(arr,mess) \
+if (arr==NULL) { \
+ fprintf(stderr,"array_from_pyobj:" mess); \
+ return NULL; \
+}
+
+#define CHECK_DIMS_DEFINED(rank,dims,mess) \
+if (count_nonpos(rank,dims)) { \
+ fprintf(stderr,"array_from_pyobj:" mess); \
+ return NULL; \
+}
+
+#define HAS_PROPER_ELSIZE(arr,type_num) \
+ ((PyArray_DescrFromType(type_num)->elsize) == (arr)->descr->elsize)
+
+/* static */
+/* void f2py_show_args(const int type_num, */
+/* const int *dims, */
+/* const int rank, */
+/* const int intent) { */
+/* int i; */
+/* fprintf(stderr,"array_from_pyobj:\n\ttype_num=%d\n\trank=%d\n\tintent=%d\n",\ */
+/* type_num,rank,intent); */
+/* for (i=0;i<rank;++i) */
+/* fprintf(stderr,"\tdims[%d]=%d\n",i,dims[i]); */
+/* } */
+
+static
+int count_nonpos(const int rank,
+ const int *dims) {
+ int i=0,r=0;
+ while (i<rank) {
+ if (dims[i] <= 0) ++r;
+ ++i;
+ }
+ return r;
+}
+
+static void lazy_transpose(PyArrayObject* arr);
+static int check_and_fix_dimensions(const PyArrayObject* arr,
+ const int rank,
+ int *dims);
+static
+int array_has_column_major_storage(const PyArrayObject *ap);
+
+static
+PyArrayObject* array_from_pyobj(const int type_num,
+ int *dims,
+ const int rank,
+ const int intent,
+ PyObject *obj) {
+ /* Note about reference counting
+ -----------------------------
+ If the caller returns the array to Python, it must be done with
+ Py_BuildValue("N",arr).
+ Otherwise, if obj!=arr then the caller must call Py_DECREF(arr).
+ */
+
+/* f2py_show_args(type_num,dims,rank,intent); */
+
+ if (intent & F2PY_INTENT_CACHE) {
+ /* Don't expect correct storage order or anything reasonable when
+ returning cache array. */
+ if ((intent & F2PY_INTENT_HIDE)
+ || (obj==Py_None)) {
+ PyArrayObject *arr = NULL;
+ CHECK_DIMS_DEFINED(rank,dims,"optional,intent(cache) must"
+ " have defined dimensions.\n");
+ arr = (PyArrayObject *)PyArray_FromDims(rank,dims,type_num);
+ ARR_IS_NULL(arr,"FromDims failed: optional,intent(cache)\n");
+ if (intent & F2PY_INTENT_OUT)
+ Py_INCREF(arr);
+ return arr;
+ }
+ if (PyArray_Check(obj)
+ && ISCONTIGUOUS((PyArrayObject *)obj)
+ && HAS_PROPER_ELSIZE((PyArrayObject *)obj,type_num)
+ ) {
+ if (check_and_fix_dimensions((PyArrayObject *)obj,rank,dims))
+ return NULL; /*XXX: set exception */
+ if (intent & F2PY_INTENT_OUT)
+ Py_INCREF(obj);
+ return (PyArrayObject *)obj;
+ }
+ ARR_IS_NULL(NULL,"intent(cache) must be contiguous array with a proper elsize.\n");
+ }
+
+ if (intent & F2PY_INTENT_HIDE) {
+ PyArrayObject *arr = NULL;
+ CHECK_DIMS_DEFINED(rank,dims,"intent(hide) must have defined dimensions.\n");
+ arr = (PyArrayObject *)PyArray_FromDims(rank,dims,type_num);
+ ARR_IS_NULL(arr,"FromDims failed: intent(hide)\n");
+ if (intent & F2PY_INTENT_OUT) {
+ if ((!(intent & F2PY_INTENT_C)) && (rank>1)) {
+ lazy_transpose(arr);
+ arr->flags &= ~NPY_CONTIGUOUS;
+ }
+ Py_INCREF(arr);
+ }
+ return arr;
+ }
+
+ if (PyArray_Check(obj)) { /* here we have always intent(in) or
+ intent(inout) */
+
+ PyArrayObject *arr = (PyArrayObject *)obj;
+ int is_cont = (intent & F2PY_INTENT_C) ?
+ (ISCONTIGUOUS(arr)) : (array_has_column_major_storage(arr));
+
+ if (check_and_fix_dimensions(arr,rank,dims))
+ return NULL; /*XXX: set exception */
+
+ if ((intent & F2PY_INTENT_COPY)
+ || (! (is_cont
+ && HAS_PROPER_ELSIZE(arr,type_num)
+ && PyArray_CanCastSafely(arr->descr->type_num,type_num)))) {
+ PyArrayObject *tmp_arr = NULL;
+ if (intent & F2PY_INTENT_INOUT) {
+ ARR_IS_NULL(NULL,"intent(inout) array must be contiguous and"
+ " with a proper type and size.\n")
+ }
+ if ((rank>1) && (! (intent & F2PY_INTENT_C)))
+ lazy_transpose(arr);
+ if (PyArray_CanCastSafely(arr->descr->type_num,type_num)) {
+ tmp_arr = (PyArrayObject *)PyArray_CopyFromObject(obj,type_num,0,0);
+ ARR_IS_NULL(arr,"CopyFromObject failed: array.\n");
+ } else {
+ tmp_arr = (PyArrayObject *)PyArray_FromDims(arr->nd,
+ arr->dimensions,
+ type_num);
+ ARR_IS_NULL(tmp_arr,"FromDims failed: array with unsafe cast.\n");
+ if (copy_ND_array(arr,tmp_arr))
+ ARR_IS_NULL(NULL,"copy_ND_array failed: array with unsafe cast.\n");
+ }
+ if ((rank>1) && (! (intent & F2PY_INTENT_C))) {
+ lazy_transpose(arr);
+ lazy_transpose(tmp_arr);
+ tmp_arr->flags &= ~NPY_CONTIGUOUS;
+ }
+ arr = tmp_arr;
+ }
+ if (intent & F2PY_INTENT_OUT)
+ Py_INCREF(arr);
+ return arr;
+ }
+
+ if ((obj==Py_None) && (intent & F2PY_OPTIONAL)) {
+ PyArrayObject *arr = NULL;
+ CHECK_DIMS_DEFINED(rank,dims,"optional must have defined dimensions.\n");
+ arr = (PyArrayObject *)PyArray_FromDims(rank,dims,type_num);
+ ARR_IS_NULL(arr,"FromDims failed: optional.\n");
+ if (intent & F2PY_INTENT_OUT) {
+ if ((!(intent & F2PY_INTENT_C)) && (rank>1)) {
+ lazy_transpose(arr);
+ arr->flags &= ~NPY_CONTIGUOUS;
+ }
+ Py_INCREF(arr);
+ }
+ return arr;
+ }
+
+ if (intent & F2PY_INTENT_INOUT) {
+ ARR_IS_NULL(NULL,"intent(inout) argument must be an array.\n");
+ }
+
+ {
+ PyArrayObject *arr = (PyArrayObject *) \
+ PyArray_ContiguousFromObject(obj,type_num,0,0);
+ ARR_IS_NULL(arr,"ContiguousFromObject failed: not a sequence.\n");
+ if (check_and_fix_dimensions(arr,rank,dims))
+ return NULL; /*XXX: set exception */
+ if ((rank>1) && (! (intent & F2PY_INTENT_C))) {
+ PyArrayObject *tmp_arr = NULL;
+ lazy_transpose(arr);
+ arr->flags &= ~NPY_CONTIGUOUS;
+ tmp_arr = (PyArrayObject *) PyArray_CopyFromObject((PyObject *)arr,type_num,0,0);
+ Py_DECREF(arr);
+ arr = tmp_arr;
+ ARR_IS_NULL(arr,"CopyFromObject(Array) failed: intent(fortran)\n");
+ lazy_transpose(arr);
+ arr->flags &= ~NPY_CONTIGUOUS;
+ }
+ if (intent & F2PY_INTENT_OUT)
+ Py_INCREF(arr);
+ return arr;
+ }
+
+}
+
+ /*****************************************/
+ /* Helper functions for array_from_pyobj */
+ /*****************************************/
+
+static
+int array_has_column_major_storage(const PyArrayObject *ap) {
+ /* array_has_column_major_storage(a) is equivalent to
+ transpose(a).iscontiguous() but more efficient.
+
+ This function can be used in order to decide whether to use a
+ Fortran or C version of a wrapped function. This is relevant, for
+ example, in choosing a clapack or flapack function depending on
+ the storage order of array arguments.
+ */
+ int sd;
+ int i;
+ sd = ap->descr->elsize;
+ for (i=0;i<ap->nd;++i) {
+ if (ap->dimensions[i] == 0) return 1;
+ if (ap->strides[i] != sd) return 0;
+ sd *= ap->dimensions[i];
+ }
+ return 1;
+}
+
+static
+void lazy_transpose(PyArrayObject* arr) {
+ /*
+ Changes the order of array strides and dimensions. This
+ corresponds to the lazy transpose of a Numeric array in-situ.
+ Note that this function is assumed to be used even times for a
+ given array. Otherwise, the caller should set flags &= ~NPY_CONTIGUOUS.
+ */
+ int rank,i,s,j;
+ rank = arr->nd;
+ if (rank < 2) return;
+
+ for(i=0,j=rank-1;i<rank/2;++i,--j) {
+ s = arr->strides[i];
+ arr->strides[i] = arr->strides[j];
+ arr->strides[j] = s;
+ s = arr->dimensions[i];
+ arr->dimensions[i] = arr->dimensions[j];
+ arr->dimensions[j] = s;
+ }
+}
+
+static
+int check_and_fix_dimensions(const PyArrayObject* arr,const int rank,int *dims) {
+ /*
+ This function fills in blanks (that are -1's) in dims list using
+ the dimensions from arr. It also checks that non-blank dims will
+ match with the corresponding values in arr dimensions.
+ */
+ const int arr_size = (arr->nd)?PyArray_Size((PyObject *)arr):1;
+
+ if (rank > arr->nd) { /* [1,2] -> [[1],[2]]; 1 -> [[1]] */
+ int new_size = 1;
+ int free_axe = -1;
+ int i;
+ /* Fill dims where -1 or 0; check dimensions; calc new_size; */
+ for(i=0;i<arr->nd;++i) {
+ if (dims[i] >= 0) {
+ if (dims[i]!=arr->dimensions[i]) {
+ fprintf(stderr,"%d-th dimension must be fixed to %d but got %d\n",
+ i,dims[i],arr->dimensions[i]);
+ return 1;
+ }
+ if (!dims[i]) dims[i] = 1;
+ } else {
+ dims[i] = arr->dimensions[i] ? arr->dimensions[i] : 1;
+ }
+ new_size *= dims[i];
+ }
+ for(i=arr->nd;i<rank;++i)
+ if (dims[i]>1) {
+ fprintf(stderr,"%d-th dimension must be %d but got 0 (not defined).\n",
+ i,dims[i]);
+ return 1;
+ } else if (free_axe<0)
+ free_axe = i;
+ else
+ dims[i] = 1;
+ if (free_axe>=0) {
+ dims[free_axe] = arr_size/new_size;
+ new_size *= dims[free_axe];
+ }
+ if (new_size != arr_size) {
+ fprintf(stderr,"confused: new_size=%d, arr_size=%d (maybe too many free"
+ " indices)\n",new_size,arr_size);
+ return 1;
+ }
+ } else {
+ int i;
+ for (i=rank;i<arr->nd;++i)
+ if (arr->dimensions[i]>1) {
+ fprintf(stderr,"too many axes: %d, expected rank=%d\n",arr->nd,rank);
+ return 1;
+ }
+ for (i=0;i<rank;++i)
+ if (dims[i]>=0) {
+ if (arr->dimensions[i]!=dims[i]) {
+ fprintf(stderr,"%d-th dimension must be fixed to %d but got %d\n",
+ i,dims[i],arr->dimensions[i]);
+ return 1;
+ }
+ if (!dims[i]) dims[i] = 1;
+ } else
+ dims[i] = arr->dimensions[i];
+ }
+ return 0;
+}
+
+/* End of file: array_from_pyobj.c */