/*NUMPY_API
* Mean
*/
NPY_NO_EXPORT PyObject *
PyArray_Mean(PyArrayObject *self, int axis, int rtype, PyArrayObject *out)
{
PyObject *obj1 = NULL, *obj2 = NULL, *ret;
PyArrayObject *arr;
arr = (PyArrayObject *)PyArray_CheckAxis(self, &axis, 0);
if (arr == NULL) {
return NULL;
}
obj1 = PyArray_GenericReduceFunction(arr, n_ops.add, axis,
rtype, out);
obj2 = PyFloat_FromDouble((double)PyArray_DIM(arr,axis));
Py_DECREF(arr);
if (obj1 == NULL || obj2 == NULL) {
Py_XDECREF(obj1);
Py_XDECREF(obj2);
return NULL;
}
if (!out) {
#if defined(NPY_PY3K)
ret = PyNumber_TrueDivide(obj1, obj2);
#else
ret = PyNumber_Divide(obj1, obj2);
#endif
}
else {
ret = PyObject_CallFunction(n_ops.divide, "OOO", out, obj2, out);
}
Py_DECREF(obj1);
Py_DECREF(obj2);
return ret;
}
/*NUMPY_API
*Sum
*/
NPY_NO_EXPORT PyObject *
PyArray_Sum(PyArrayObject *self, int axis, int rtype, PyArrayObject *out)
{
PyObject *arr, *ret;
arr = PyArray_CheckAxis(self, &axis, 0);
if (arr == NULL) {
return NULL;
}
ret = PyArray_GenericReduceFunction((PyArrayObject *)arr, n_ops.add, axis,
rtype, out);
Py_DECREF(arr);
return ret;
}
/*NUMPY_API
* All
*/
NPY_NO_EXPORT PyObject *
PyArray_All(PyArrayObject *self, int axis, PyArrayObject *out)
{
PyObject *arr, *ret;
arr = PyArray_CheckAxis(self, &axis, 0);
if (arr == NULL) {
return NULL;
}
ret = PyArray_GenericReduceFunction((PyArrayObject *)arr,
n_ops.logical_and, axis,
NPY_BOOL, out);
Py_DECREF(arr);
return ret;
}
/*NUMPY_API
* Min
*/
NPY_NO_EXPORT PyObject *
PyArray_Min(PyArrayObject *ap, int axis, PyArrayObject *out)
{
PyArrayObject *arr;
PyObject *ret;
arr=(PyArrayObject *)PyArray_CheckAxis(ap, &axis, 0);
if (arr == NULL) {
return NULL;
}
ret = PyArray_GenericReduceFunction(arr, n_ops.minimum, axis,
PyArray_DESCR(arr)->type_num, out);
Py_DECREF(arr);
return ret;
}
/*NUMPY_API
*CumSum
*/
NPY_NO_EXPORT PyObject *
PyArray_CumSum(PyArrayObject *self, int axis, int rtype, PyArrayObject *out)
{
PyObject *arr, *ret;
arr = PyArray_CheckAxis(self, &axis, NPY_ARRAY_ALLOWNA);
if (arr == NULL) {
return NULL;
}
ret = PyArray_GenericAccumulateFunction((PyArrayObject *)arr,
n_ops.add, axis,
rtype, out);
Py_DECREF(arr);
return ret;
}
/*NUMPY_API
* CumProd
*/
NPY_NO_EXPORT PyObject *
PyArray_CumProd(PyArrayObject *self, int axis, int rtype, PyArrayObject *out)
{
PyObject *arr, *ret;
arr = PyArray_CheckAxis(self, &axis, 0);
if (arr == NULL) {
return NULL;
}
ret = PyArray_GenericAccumulateFunction((PyArrayObject *)arr,
n_ops.multiply, axis,
rtype, out);
Py_DECREF(arr);
return ret;
}
/*NUMPY_API
* Ptp
*/
NPY_NO_EXPORT PyObject *
PyArray_Ptp(PyArrayObject *ap, int axis, PyArrayObject *out)
{
PyArrayObject *arr;
PyObject *ret;
PyObject *obj1 = NULL, *obj2 = NULL;
arr=(PyArrayObject *)PyArray_CheckAxis(ap, &axis, 0);
if (arr == NULL) {
return NULL;
}
obj1 = PyArray_Max(arr, axis, out);
if (obj1 == NULL) {
goto fail;
}
obj2 = PyArray_Min(arr, axis, NULL);
if (obj2 == NULL) {
goto fail;
}
Py_DECREF(arr);
if (out) {
ret = PyObject_CallFunction(n_ops.subtract, "OOO", out, obj2, out);
}
else {
ret = PyNumber_Subtract(obj1, obj2);
}
Py_DECREF(obj1);
Py_DECREF(obj2);
return ret;
fail:
Py_XDECREF(arr);
Py_XDECREF(obj1);
Py_XDECREF(obj2);
return NULL;
}
/*NUMPY_API
* ArgMax
*/
NPY_NO_EXPORT PyObject *
PyArray_ArgMax(PyArrayObject *op, int axis, PyArrayObject *out)
{
PyArrayObject *ap = NULL, *rp = NULL;
PyArray_ArgFunc* arg_func;
char *ip;
npy_intp *rptr;
npy_intp i, n, m;
int elsize;
NPY_BEGIN_THREADS_DEF;
if ((ap = (PyArrayObject *)PyArray_CheckAxis(op, &axis, 0)) == NULL) {
return NULL;
}
/*
* We need to permute the array so that axis is placed at the end.
* And all other dimensions are shifted left.
*/
if (axis != PyArray_NDIM(ap)-1) {
PyArray_Dims newaxes;
npy_intp dims[NPY_MAXDIMS];
int j;
newaxes.ptr = dims;
newaxes.len = PyArray_NDIM(ap);
for (j = 0; j < axis; j++) {
dims[j] = j;
}
for (j = axis; j < PyArray_NDIM(ap) - 1; j++) {
dims[j] = j + 1;
}
dims[PyArray_NDIM(ap) - 1] = axis;
op = (PyArrayObject *)PyArray_Transpose(ap, &newaxes);
Py_DECREF(ap);
if (op == NULL) {
return NULL;
}
}
else {
op = ap;
}
/* Will get native-byte order contiguous copy. */
ap = (PyArrayObject *)PyArray_ContiguousFromAny((PyObject *)op,
PyArray_DESCR(op)->type_num, 1, 0);
Py_DECREF(op);
if (ap == NULL) {
return NULL;
}
arg_func = PyArray_DESCR(ap)->f->argmax;
if (arg_func == NULL) {
PyErr_SetString(PyExc_TypeError,
"data type not ordered");
goto fail;
}
elsize = PyArray_DESCR(ap)->elsize;
m = PyArray_DIMS(ap)[PyArray_NDIM(ap)-1];
if (m == 0) {
PyErr_SetString(PyExc_ValueError,
"attempt to get argmax of an empty sequence");
goto fail;
}
if (!out) {
rp = (PyArrayObject *)PyArray_NewFromDescr(
Py_TYPE(ap), PyArray_DescrFromType(NPY_INTP),
PyArray_NDIM(ap) - 1, PyArray_DIMS(ap), NULL, NULL,
0, (PyObject *)ap);
if (rp == NULL) {
goto fail;
}
}
else {
if ((PyArray_NDIM(out) != PyArray_NDIM(ap) - 1) ||
!PyArray_CompareLists(PyArray_DIMS(out), PyArray_DIMS(ap),
PyArray_NDIM(out))) {
PyErr_SetString(PyExc_ValueError,
"output array does not match result of np.argmax.");
goto fail;
}
rp = (PyArrayObject *)PyArray_FromArray(out,
PyArray_DescrFromType(NPY_INTP),
NPY_ARRAY_CARRAY | NPY_ARRAY_WRITEBACKIFCOPY);
if (rp == NULL) {
goto fail;
}
}
NPY_BEGIN_THREADS_DESCR(PyArray_DESCR(ap));
n = PyArray_SIZE(ap)/m;
rptr = (npy_intp *)PyArray_DATA(rp);
for (ip = PyArray_DATA(ap), i = 0; i < n; i++, ip += elsize*m) {
arg_func(ip, m, rptr, ap);
rptr += 1;
}
NPY_END_THREADS_DESCR(PyArray_DESCR(ap));
Py_DECREF(ap);
/* Trigger the UPDATEIFCOPY/WRTIEBACKIFCOPY if necessary */
if (out != NULL && out != rp) {
PyArray_ResolveWritebackIfCopy(rp);
Py_DECREF(rp);
rp = out;
Py_INCREF(rp);
}
return (PyObject *)rp;
fail:
Py_DECREF(ap);
Py_XDECREF(rp);
return NULL;
}
NPY_NO_EXPORT PyObject *
__New_PyArray_Std(PyArrayObject *self, int axis, int rtype, PyArrayObject *out,
int variance, int num)
{
PyObject *obj1 = NULL, *obj2 = NULL, *obj3 = NULL;
PyArrayObject *arr1 = NULL, *arr2 = NULL, *arrnew = NULL;
PyObject *ret = NULL, *newshape = NULL;
int i, n;
npy_intp val;
arrnew = (PyArrayObject *)PyArray_CheckAxis(self, &axis, 0);
if (arrnew == NULL) {
return NULL;
}
/* Compute and reshape mean */
arr1 = (PyArrayObject *)PyArray_EnsureAnyArray(
PyArray_Mean(arrnew, axis, rtype, NULL));
if (arr1 == NULL) {
Py_DECREF(arrnew);
return NULL;
}
n = PyArray_NDIM(arrnew);
newshape = PyTuple_New(n);
if (newshape == NULL) {
Py_DECREF(arr1);
Py_DECREF(arrnew);
return NULL;
}
for (i = 0; i < n; i++) {
if (i == axis) {
val = 1;
}
else {
val = PyArray_DIM(arrnew,i);
}
PyTuple_SET_ITEM(newshape, i, PyInt_FromLong((long)val));
}
arr2 = (PyArrayObject *)PyArray_Reshape(arr1, newshape);
Py_DECREF(arr1);
Py_DECREF(newshape);
if (arr2 == NULL) {
Py_DECREF(arrnew);
return NULL;
}
/* Compute x = x - mx */
arr1 = (PyArrayObject *)PyArray_EnsureAnyArray(
PyNumber_Subtract((PyObject *)arrnew, (PyObject *)arr2));
Py_DECREF(arr2);
if (arr1 == NULL) {
Py_DECREF(arrnew);
return NULL;
}
/* Compute x * x */
if (PyArray_ISCOMPLEX(arr1)) {
obj3 = PyArray_Conjugate(arr1, NULL);
}
else {
obj3 = (PyObject *)arr1;
Py_INCREF(arr1);
}
if (obj3 == NULL) {
Py_DECREF(arrnew);
return NULL;
}
arr2 = (PyArrayObject *)PyArray_EnsureAnyArray(
PyArray_GenericBinaryFunction(arr1, obj3, n_ops.multiply));
Py_DECREF(arr1);
Py_DECREF(obj3);
if (arr2 == NULL) {
Py_DECREF(arrnew);
return NULL;
}
if (PyArray_ISCOMPLEX(arr2)) {
obj3 = PyObject_GetAttrString((PyObject *)arr2, "real");
switch(rtype) {
case NPY_CDOUBLE:
rtype = NPY_DOUBLE;
break;
case NPY_CFLOAT:
rtype = NPY_FLOAT;
break;
case NPY_CLONGDOUBLE:
rtype = NPY_LONGDOUBLE;
break;
}
}
else {
obj3 = (PyObject *)arr2;
Py_INCREF(arr2);
}
if (obj3 == NULL) {
Py_DECREF(arrnew);
return NULL;
}
/* Compute add.reduce(x*x,axis) */
obj1 = PyArray_GenericReduceFunction((PyArrayObject *)obj3, n_ops.add,
axis, rtype, NULL);
Py_DECREF(obj3);
Py_DECREF(arr2);
if (obj1 == NULL) {
Py_DECREF(arrnew);
return NULL;
}
n = PyArray_DIM(arrnew,axis);
Py_DECREF(arrnew);
n = (n-num);
if (n == 0) {
n = 1;
}
obj2 = PyFloat_FromDouble(1.0/((double )n));
if (obj2 == NULL) {
Py_DECREF(obj1);
return NULL;
}
ret = PyNumber_Multiply(obj1, obj2);
Py_DECREF(obj1);
Py_DECREF(obj2);
if (!variance) {
arr1 = (PyArrayObject *)PyArray_EnsureAnyArray(ret);
/* sqrt() */
ret = PyArray_GenericUnaryFunction(arr1, n_ops.sqrt);
Py_DECREF(arr1);
}
if (ret == NULL) {
return NULL;
}
if (PyArray_CheckExact(self)) {
goto finish;
}
if (PyArray_Check(self) && Py_TYPE(self) == Py_TYPE(ret)) {
goto finish;
}
arr1 = (PyArrayObject *)PyArray_EnsureArray(ret);
if (arr1 == NULL) {
return NULL;
}
ret = PyArray_View(arr1, NULL, Py_TYPE(self));
Py_DECREF(arr1);
finish:
if (out) {
if (PyArray_AssignArray(out, (PyArrayObject *)ret,
NULL, NPY_DEFAULT_ASSIGN_CASTING) < 0) {
Py_DECREF(ret);
return NULL;
}
Py_DECREF(ret);
Py_INCREF(out);
return (PyObject *)out;
}
return ret;
}
/*NUMPY_API
* ArgMin
*/
NPY_NO_EXPORT PyObject *
PyArray_ArgMin(PyArrayObject *op, int axis, PyArrayObject *out)
{
PyArrayObject *ap = NULL, *rp = NULL;
PyArray_ArgFunc* arg_func;
char *ip;
intp *rptr;
intp i, n, m;
int elsize;
NPY_BEGIN_THREADS_DEF;
if ((ap = (PyArrayObject *)PyArray_CheckAxis(op, &axis, 0)) == NULL) {
return NULL;
}
/*
* We need to permute the array so that axis is placed at the end.
* And all other dimensions are shifted left.
*/
if (axis != PyArray_NDIM(ap)-1) {
PyArray_Dims newaxes;
intp dims[MAX_DIMS];
int i;
newaxes.ptr = dims;
newaxes.len = PyArray_NDIM(ap);
for (i = 0; i < axis; i++) {
dims[i] = i;
}
for (i = axis; i < PyArray_NDIM(ap) - 1; i++) {
dims[i] = i + 1;
}
dims[PyArray_NDIM(ap) - 1] = axis;
op = (PyArrayObject *)PyArray_Transpose(ap, &newaxes);
Py_DECREF(ap);
if (op == NULL) {
return NULL;
}
}
else {
op = ap;
}
/* Will get native-byte order contiguous copy. */
ap = (PyArrayObject *)PyArray_ContiguousFromAny((PyObject *)op,
PyArray_DESCR(op)->type_num, 1, 0);
Py_DECREF(op);
if (ap == NULL) {
return NULL;
}
arg_func = PyArray_DESCR(ap)->f->argmin;
if (arg_func == NULL) {
PyErr_SetString(PyExc_TypeError,
"data type not ordered");
goto fail;
}
elsize = PyArray_DESCR(ap)->elsize;
m = PyArray_DIMS(ap)[PyArray_NDIM(ap)-1];
if (m == 0) {
PyErr_SetString(PyExc_ValueError,
"attempt to get argmin of an empty sequence");
goto fail;
}
if (!out) {
rp = (PyArrayObject *)PyArray_New(Py_TYPE(ap), PyArray_NDIM(ap)-1,
PyArray_DIMS(ap), PyArray_INTP,
NULL, NULL, 0, 0,
(PyObject *)ap);
if (rp == NULL) {
goto fail;
}
}
else {
if (PyArray_SIZE(out) !=
PyArray_MultiplyList(PyArray_DIMS(ap), PyArray_NDIM(ap) - 1)) {
PyErr_SetString(PyExc_TypeError,
"invalid shape for output array.");
}
rp = (PyArrayObject *)PyArray_FromArray(out,
PyArray_DescrFromType(PyArray_INTP),
NPY_ARRAY_CARRAY | NPY_ARRAY_UPDATEIFCOPY);
if (rp == NULL) {
goto fail;
}
}
NPY_BEGIN_THREADS_DESCR(PyArray_DESCR(ap));
n = PyArray_SIZE(ap)/m;
rptr = (intp *)PyArray_DATA(rp);
for (ip = PyArray_DATA(ap), i = 0; i < n; i++, ip += elsize*m) {
arg_func(ip, m, rptr, ap);
rptr += 1;
}
NPY_END_THREADS_DESCR(PyArray_DESCR(ap));
Py_DECREF(ap);
/* Trigger the UPDATEIFCOPY if necessary */
if (out != NULL && out != rp) {
Py_DECREF(rp);
rp = out;
Py_INCREF(rp);
}
return (PyObject *)rp;
fail:
Py_DECREF(ap);
Py_XDECREF(rp);
return NULL;
}
