Пример #1
0
/*  wrapped cosine function */
static PyObject* cos_func_np(PyObject* self, PyObject* args)
{

    PyArrayObject *in_array;
    PyObject      *out_array;
    PyArrayIterObject *in_iter;
    PyArrayIterObject *out_iter;

    /*  parse single numpy array argument */
    if (!PyArg_ParseTuple(args, "O!", &PyArray_Type, &in_array))
        return NULL;

    /*  construct the output array, like the input array */
    out_array = PyArray_NewLikeArray(in_array, NPY_ANYORDER, NULL, 0);
    if (out_array == NULL)
        return NULL;

    /*  create the iterators */
    /* TODO: this iterator API is deprecated since 1.6
     *       replace in favour of the new NpyIter API */
    in_iter  = (PyArrayIterObject *)PyArray_IterNew((PyObject*)in_array);
    out_iter = (PyArrayIterObject *)PyArray_IterNew(out_array);
    if (in_iter == NULL || out_iter == NULL)
        goto fail;

    /*  iterate over the arrays */
    while (in_iter->index < in_iter->size
            && out_iter->index < out_iter->size) {
        /* get the datapointers */
        double * in_dataptr = (double *)in_iter->dataptr;
        double * out_dataptr = (double *)out_iter->dataptr;
        /* cosine of input into output */
        *out_dataptr = cos(*in_dataptr);
        /* update the iterator */
        PyArray_ITER_NEXT(in_iter);
        PyArray_ITER_NEXT(out_iter);
    }

    /*  clean up and return the result */
    Py_DECREF(in_iter);
    Py_DECREF(out_iter);
    Py_INCREF(out_array);
    return out_array;

    /*  in case bad things happen */
    fail:
        Py_XDECREF(out_array);
        Py_XDECREF(in_iter);
        Py_XDECREF(out_iter);
        return NULL;
}
Пример #2
0
int APPLY_SPECIFIC(doublecop)(PyArrayObject *x,
                              PyArrayObject **out) {
  Py_XDECREF(*out);
  *out = (PyArrayObject *)PyArray_NewLikeArray(
                           inp, NPY_ANYORDER, NULL, 0);
  if (*out == NULL)
    return -1;

  for (npy_intp i = 0; i < PyArray_DIM(x, 0); i++) {
    *(DTYPE_OUTPUT_0 *)PyArray_GETPTR1(*out, i) =
      (*(DTYPE_INPUT_0 *)PyArray_GETPTR1(x, i)) * 2;
  }
  return 0;
}
Пример #3
0
/*
 * Conforms an output parameter 'out' to have 'ndim' dimensions
 * with dimensions of size one added in the appropriate places
 * indicated by 'axis_flags'.
 *
 * The return value is a view into 'out'.
 */
static PyArrayObject *
conform_reduce_result(int ndim, npy_bool *axis_flags,
                      PyArrayObject *out, int keepdims, const char *funcname,
                      int need_copy)
{
    npy_intp strides[NPY_MAXDIMS], shape[NPY_MAXDIMS];
    npy_intp *strides_out = PyArray_STRIDES(out);
    npy_intp *shape_out = PyArray_DIMS(out);
    int idim, idim_out, ndim_out = PyArray_NDIM(out);
    PyArray_Descr *dtype;
    PyArrayObject_fields *ret;

    /*
     * If the 'keepdims' parameter is true, do a simpler validation and
     * return a new reference to 'out'.
     */
    if (keepdims) {
        if (PyArray_NDIM(out) != ndim) {
            PyErr_Format(PyExc_ValueError,
                    "output parameter for reduction operation %s "
                    "has the wrong number of dimensions (must match "
                    "the operand's when keepdims=True)", funcname);
            return NULL;
        }

        for (idim = 0; idim < ndim; ++idim) {
            if (axis_flags[idim]) {
                if (shape_out[idim] != 1) {
                    PyErr_Format(PyExc_ValueError,
                            "output parameter for reduction operation %s "
                            "has a reduction dimension not equal to one "
                            "(required when keepdims=True)", funcname);
                    return NULL;
                }
            }
        }

        Py_INCREF(out);
        return out;
    }

    /* Construct the strides and shape */
    idim_out = 0;
    for (idim = 0; idim < ndim; ++idim) {
        if (axis_flags[idim]) {
            strides[idim] = 0;
            shape[idim] = 1;
        }
        else {
            if (idim_out >= ndim_out) {
                PyErr_Format(PyExc_ValueError,
                        "output parameter for reduction operation %s "
                        "does not have enough dimensions", funcname);
                return NULL;
            }
            strides[idim] = strides_out[idim_out];
            shape[idim] = shape_out[idim_out];
            ++idim_out;
        }
    }

    if (idim_out != ndim_out) {
        PyErr_Format(PyExc_ValueError,
                "output parameter for reduction operation %s "
                "has too many dimensions", funcname);
        return NULL;
    }

    /* Allocate the view */
    dtype = PyArray_DESCR(out);
    Py_INCREF(dtype);

    ret = (PyArrayObject_fields *)PyArray_NewFromDescr(&PyArray_Type,
                               dtype,
                               ndim, shape,
                               strides,
                               PyArray_DATA(out),
                               PyArray_FLAGS(out),
                               NULL);
    if (ret == NULL) {
        return NULL;
    }

    Py_INCREF(out);
    if (PyArray_SetBaseObject((PyArrayObject *)ret, (PyObject *)out) < 0) {
        Py_DECREF(ret);
        return NULL;
    }

    if (need_copy) {
        PyArrayObject *ret_copy;

        ret_copy = (PyArrayObject *)PyArray_NewLikeArray(
            (PyArrayObject *)ret, NPY_ANYORDER, NULL, 0);
        if (ret_copy == NULL) {
            Py_DECREF(ret);
            return NULL;
        }

        if (PyArray_CopyInto(ret_copy, (PyArrayObject *)ret) != 0) {
            Py_DECREF(ret);
            Py_DECREF(ret_copy);
            return NULL;
        }

        Py_INCREF(ret);
        if (PyArray_SetWritebackIfCopyBase(ret_copy, (PyArrayObject *)ret) < 0) {
            Py_DECREF(ret);
            Py_DECREF(ret_copy);
            return NULL;
        }

        return ret_copy;
    }
    else {
        return (PyArrayObject *)ret;
    }
}