.. versionadded:: 3.4
-.. function:: reduce(function, iterable[, initial], /)
+.. function:: reduce(function, iterable, /[, initial])
Apply *function* of two arguments cumulatively to the items of *iterable*, from
left to right, so as to reduce the iterable to a single value. For example,
initial_missing = object()
- def reduce(function, iterable, initial=initial_missing, /):
+ def reduce(function, iterable, /, initial=initial_missing):
it = iter(iterable)
if initial is initial_missing:
value = next(it)
See :func:`itertools.accumulate` for an iterator that yields all intermediate
values.
+ .. versionchanged:: next
+ *initial* is now supported as a keyword argument.
+
.. decorator:: singledispatch
Transform a function into a :term:`single-dispatch <single
to reserve a place for positional arguments.
(Contributed by Dominykas Grigonis in :gh:`119127`.)
+* Allow the *initial* parameter of :func:`functools.reduce` to be passed
+ as a keyword argument.
+ (Contributed by Sayandip Dutta in :gh:`125916`.)
+
+
getopt
------
def reduce(function, sequence, initial=_initial_missing):
"""
- reduce(function, iterable[, initial], /) -> value
+ reduce(function, iterable, /[, initial]) -> value
Apply a function of two arguments cumulatively to the items of an iterable, from left to right.
d = {"one": 1, "two": 2, "three": 3}
self.assertEqual(self.reduce(add, d), "".join(d.keys()))
+ # test correctness of keyword usage of `initial` in `reduce`
+ def test_initial_keyword(self):
+ def add(x, y):
+ return x + y
+ self.assertEqual(
+ self.reduce(add, ['a', 'b', 'c'], ''),
+ self.reduce(add, ['a', 'b', 'c'], initial=''),
+ )
+ self.assertEqual(
+ self.reduce(add, [['a', 'c'], [], ['d', 'w']], []),
+ self.reduce(add, [['a', 'c'], [], ['d', 'w']], initial=[]),
+ )
+ self.assertEqual(
+ self.reduce(lambda x, y: x*y, range(2,8), 1),
+ self.reduce(lambda x, y: x*y, range(2,8), initial=1),
+ )
+ self.assertEqual(
+ self.reduce(lambda x, y: x*y, range(2,21), 1),
+ self.reduce(lambda x, y: x*y, range(2,21), initial=1),
+ )
+ self.assertRaises(TypeError, self.reduce, add, [0, 1], initial="")
+ self.assertEqual(self.reduce(42, "", initial="1"), "1") # func is never called with one item
+
@unittest.skipUnless(c_functools, 'requires the C _functools module')
class TestReduceC(TestReduce, unittest.TestCase):
Virgil Dupras
Bruno Dupuis
Andy Dustman
+Sayandip Dutta
Gary Duzan
Eugene Dvurechenski
Karmen Dykstra
--- /dev/null
+Allow the *initial* parameter of :func:`functools.reduce` to be passed as a keyword argument.
+Patch by Sayandip Dutta.
function as func: object
iterable as seq: object
- initial as result: object = NULL
/
+ initial as result: object = NULL
Apply a function of two arguments cumulatively to the items of an iterable, from left to right.
static PyObject *
_functools_reduce_impl(PyObject *module, PyObject *func, PyObject *seq,
PyObject *result)
-/*[clinic end generated code: output=30d898fe1267c79d input=d233c2670cba7f66]*/
+/*[clinic end generated code: output=30d898fe1267c79d input=1511e9a8c38581ac]*/
{
PyObject *args, *it;
}
PyDoc_STRVAR(_functools_reduce__doc__,
-"reduce($module, function, iterable, initial=<unrepresentable>, /)\n"
+"reduce($module, function, iterable, /, initial=<unrepresentable>)\n"
"--\n"
"\n"
"Apply a function of two arguments cumulatively to the items of an iterable, from left to right.\n"
"calculates ((((1 + 2) + 3) + 4) + 5).");
#define _FUNCTOOLS_REDUCE_METHODDEF \
- {"reduce", _PyCFunction_CAST(_functools_reduce), METH_FASTCALL, _functools_reduce__doc__},
+ {"reduce", _PyCFunction_CAST(_functools_reduce), METH_FASTCALL|METH_KEYWORDS, _functools_reduce__doc__},
static PyObject *
_functools_reduce_impl(PyObject *module, PyObject *func, PyObject *seq,
PyObject *result);
static PyObject *
-_functools_reduce(PyObject *module, PyObject *const *args, Py_ssize_t nargs)
+_functools_reduce(PyObject *module, PyObject *const *args, Py_ssize_t nargs, PyObject *kwnames)
{
PyObject *return_value = NULL;
+ #if defined(Py_BUILD_CORE) && !defined(Py_BUILD_CORE_MODULE)
+
+ #define NUM_KEYWORDS 1
+ static struct {
+ PyGC_Head _this_is_not_used;
+ PyObject_VAR_HEAD
+ PyObject *ob_item[NUM_KEYWORDS];
+ } _kwtuple = {
+ .ob_base = PyVarObject_HEAD_INIT(&PyTuple_Type, NUM_KEYWORDS)
+ .ob_item = { &_Py_ID(initial), },
+ };
+ #undef NUM_KEYWORDS
+ #define KWTUPLE (&_kwtuple.ob_base.ob_base)
+
+ #else // !Py_BUILD_CORE
+ # define KWTUPLE NULL
+ #endif // !Py_BUILD_CORE
+
+ static const char * const _keywords[] = {"", "", "initial", NULL};
+ static _PyArg_Parser _parser = {
+ .keywords = _keywords,
+ .fname = "reduce",
+ .kwtuple = KWTUPLE,
+ };
+ #undef KWTUPLE
+ PyObject *argsbuf[3];
+ Py_ssize_t noptargs = nargs + (kwnames ? PyTuple_GET_SIZE(kwnames) : 0) - 2;
PyObject *func;
PyObject *seq;
PyObject *result = NULL;
- if (!_PyArg_CheckPositional("reduce", nargs, 2, 3)) {
+ args = _PyArg_UnpackKeywords(args, nargs, NULL, kwnames, &_parser,
+ /*minpos*/ 2, /*maxpos*/ 3, /*minkw*/ 0, /*varpos*/ 0, argsbuf);
+ if (!args) {
goto exit;
}
func = args[0];
seq = args[1];
- if (nargs < 3) {
- goto skip_optional;
+ if (!noptargs) {
+ goto skip_optional_pos;
}
result = args[2];
-skip_optional:
+skip_optional_pos:
return_value = _functools_reduce_impl(module, func, seq, result);
exit:
return return_value;
}
-/*[clinic end generated code: output=0c3df7e5131200b7 input=a9049054013a1b77]*/
+/*[clinic end generated code: output=e6edcc01f0720daf input=a9049054013a1b77]*/