mirror of
https://github.com/python/cpython.git
synced 2024-11-24 08:52:25 +01:00
061e50f196
Remove _PyArg_UnpackKeywordsWithVararg. Add comments for integer arguments of _PyArg_UnpackKeywords.
940 lines
27 KiB
C
Generated
940 lines
27 KiB
C
Generated
/*[clinic input]
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preserve
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[clinic start generated code]*/
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#if defined(Py_BUILD_CORE) && !defined(Py_BUILD_CORE_MODULE)
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# include "pycore_gc.h" // PyGC_Head
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# include "pycore_runtime.h" // _Py_ID()
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#endif
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#include "pycore_abstract.h" // _PyNumber_Index()
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#include "pycore_modsupport.h" // _PyArg_UnpackKeywords()
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PyDoc_STRVAR(batched_new__doc__,
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"batched(iterable, n, *, strict=False)\n"
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"--\n"
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"\n"
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"Batch data into tuples of length n. The last batch may be shorter than n.\n"
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"\n"
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"Loops over the input iterable and accumulates data into tuples\n"
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"up to size n. The input is consumed lazily, just enough to\n"
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"fill a batch. The result is yielded as soon as a batch is full\n"
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"or when the input iterable is exhausted.\n"
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"\n"
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" >>> for batch in batched(\'ABCDEFG\', 3):\n"
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" ... print(batch)\n"
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" ...\n"
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" (\'A\', \'B\', \'C\')\n"
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" (\'D\', \'E\', \'F\')\n"
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" (\'G\',)\n"
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"\n"
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"If \"strict\" is True, raises a ValueError if the final batch is shorter\n"
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"than n.");
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static PyObject *
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batched_new_impl(PyTypeObject *type, PyObject *iterable, Py_ssize_t n,
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int strict);
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static PyObject *
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batched_new(PyTypeObject *type, PyObject *args, PyObject *kwargs)
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{
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PyObject *return_value = NULL;
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#if defined(Py_BUILD_CORE) && !defined(Py_BUILD_CORE_MODULE)
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#define NUM_KEYWORDS 3
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static struct {
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PyGC_Head _this_is_not_used;
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PyObject_VAR_HEAD
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PyObject *ob_item[NUM_KEYWORDS];
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} _kwtuple = {
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.ob_base = PyVarObject_HEAD_INIT(&PyTuple_Type, NUM_KEYWORDS)
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.ob_item = { &_Py_ID(iterable), _Py_LATIN1_CHR('n'), &_Py_ID(strict), },
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};
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#undef NUM_KEYWORDS
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#define KWTUPLE (&_kwtuple.ob_base.ob_base)
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#else // !Py_BUILD_CORE
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# define KWTUPLE NULL
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#endif // !Py_BUILD_CORE
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static const char * const _keywords[] = {"iterable", "n", "strict", NULL};
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static _PyArg_Parser _parser = {
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.keywords = _keywords,
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.fname = "batched",
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.kwtuple = KWTUPLE,
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};
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#undef KWTUPLE
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PyObject *argsbuf[3];
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PyObject * const *fastargs;
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Py_ssize_t nargs = PyTuple_GET_SIZE(args);
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Py_ssize_t noptargs = nargs + (kwargs ? PyDict_GET_SIZE(kwargs) : 0) - 2;
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PyObject *iterable;
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Py_ssize_t n;
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int strict = 0;
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fastargs = _PyArg_UnpackKeywords(_PyTuple_CAST(args)->ob_item, nargs, kwargs, NULL, &_parser,
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/*minpos*/ 2, /*maxpos*/ 2, /*minkw*/ 0, /*varpos*/ 0, argsbuf);
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if (!fastargs) {
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goto exit;
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}
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iterable = fastargs[0];
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{
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Py_ssize_t ival = -1;
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PyObject *iobj = _PyNumber_Index(fastargs[1]);
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if (iobj != NULL) {
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ival = PyLong_AsSsize_t(iobj);
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Py_DECREF(iobj);
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}
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if (ival == -1 && PyErr_Occurred()) {
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goto exit;
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}
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n = ival;
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}
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if (!noptargs) {
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goto skip_optional_kwonly;
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}
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strict = PyObject_IsTrue(fastargs[2]);
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if (strict < 0) {
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goto exit;
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}
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skip_optional_kwonly:
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return_value = batched_new_impl(type, iterable, n, strict);
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exit:
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return return_value;
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}
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PyDoc_STRVAR(pairwise_new__doc__,
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"pairwise(iterable, /)\n"
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"--\n"
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"\n"
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"Return an iterator of overlapping pairs taken from the input iterator.\n"
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"\n"
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" s -> (s0,s1), (s1,s2), (s2, s3), ...");
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static PyObject *
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pairwise_new_impl(PyTypeObject *type, PyObject *iterable);
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static PyObject *
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pairwise_new(PyTypeObject *type, PyObject *args, PyObject *kwargs)
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{
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PyObject *return_value = NULL;
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PyTypeObject *base_tp = clinic_state()->pairwise_type;
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PyObject *iterable;
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if ((type == base_tp || type->tp_init == base_tp->tp_init) &&
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!_PyArg_NoKeywords("pairwise", kwargs)) {
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goto exit;
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}
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if (!_PyArg_CheckPositional("pairwise", PyTuple_GET_SIZE(args), 1, 1)) {
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goto exit;
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}
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iterable = PyTuple_GET_ITEM(args, 0);
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return_value = pairwise_new_impl(type, iterable);
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exit:
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return return_value;
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}
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PyDoc_STRVAR(itertools_groupby__doc__,
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"groupby(iterable, key=None)\n"
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"--\n"
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"\n"
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"make an iterator that returns consecutive keys and groups from the iterable\n"
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"\n"
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" iterable\n"
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" Elements to divide into groups according to the key function.\n"
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" key\n"
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" A function for computing the group category for each element.\n"
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" If the key function is not specified or is None, the element itself\n"
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" is used for grouping.");
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static PyObject *
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itertools_groupby_impl(PyTypeObject *type, PyObject *it, PyObject *keyfunc);
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static PyObject *
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itertools_groupby(PyTypeObject *type, PyObject *args, PyObject *kwargs)
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{
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PyObject *return_value = NULL;
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#if defined(Py_BUILD_CORE) && !defined(Py_BUILD_CORE_MODULE)
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#define NUM_KEYWORDS 2
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static struct {
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PyGC_Head _this_is_not_used;
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PyObject_VAR_HEAD
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PyObject *ob_item[NUM_KEYWORDS];
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} _kwtuple = {
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.ob_base = PyVarObject_HEAD_INIT(&PyTuple_Type, NUM_KEYWORDS)
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.ob_item = { &_Py_ID(iterable), &_Py_ID(key), },
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};
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#undef NUM_KEYWORDS
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#define KWTUPLE (&_kwtuple.ob_base.ob_base)
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#else // !Py_BUILD_CORE
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# define KWTUPLE NULL
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#endif // !Py_BUILD_CORE
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static const char * const _keywords[] = {"iterable", "key", NULL};
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static _PyArg_Parser _parser = {
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.keywords = _keywords,
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.fname = "groupby",
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.kwtuple = KWTUPLE,
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};
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#undef KWTUPLE
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PyObject *argsbuf[2];
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PyObject * const *fastargs;
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Py_ssize_t nargs = PyTuple_GET_SIZE(args);
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Py_ssize_t noptargs = nargs + (kwargs ? PyDict_GET_SIZE(kwargs) : 0) - 1;
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PyObject *it;
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PyObject *keyfunc = Py_None;
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fastargs = _PyArg_UnpackKeywords(_PyTuple_CAST(args)->ob_item, nargs, kwargs, NULL, &_parser,
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/*minpos*/ 1, /*maxpos*/ 2, /*minkw*/ 0, /*varpos*/ 0, argsbuf);
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if (!fastargs) {
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goto exit;
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}
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it = fastargs[0];
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if (!noptargs) {
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goto skip_optional_pos;
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}
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keyfunc = fastargs[1];
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skip_optional_pos:
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return_value = itertools_groupby_impl(type, it, keyfunc);
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exit:
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return return_value;
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}
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static PyObject *
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itertools__grouper_impl(PyTypeObject *type, PyObject *parent,
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PyObject *tgtkey);
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static PyObject *
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itertools__grouper(PyTypeObject *type, PyObject *args, PyObject *kwargs)
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{
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PyObject *return_value = NULL;
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PyTypeObject *base_tp = clinic_state()->_grouper_type;
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PyObject *parent;
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PyObject *tgtkey;
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if ((type == base_tp || type->tp_init == base_tp->tp_init) &&
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!_PyArg_NoKeywords("_grouper", kwargs)) {
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goto exit;
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}
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if (!_PyArg_CheckPositional("_grouper", PyTuple_GET_SIZE(args), 2, 2)) {
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goto exit;
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}
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if (!PyObject_TypeCheck(PyTuple_GET_ITEM(args, 0), clinic_state_by_cls()->groupby_type)) {
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_PyArg_BadArgument("_grouper", "argument 1", (clinic_state_by_cls()->groupby_type)->tp_name, PyTuple_GET_ITEM(args, 0));
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goto exit;
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}
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parent = PyTuple_GET_ITEM(args, 0);
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tgtkey = PyTuple_GET_ITEM(args, 1);
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return_value = itertools__grouper_impl(type, parent, tgtkey);
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exit:
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return return_value;
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}
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PyDoc_STRVAR(itertools_teedataobject__doc__,
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"teedataobject(iterable, values, next, /)\n"
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"--\n"
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"\n"
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"Data container common to multiple tee objects.");
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static PyObject *
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itertools_teedataobject_impl(PyTypeObject *type, PyObject *it,
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PyObject *values, PyObject *next);
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static PyObject *
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itertools_teedataobject(PyTypeObject *type, PyObject *args, PyObject *kwargs)
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{
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PyObject *return_value = NULL;
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PyTypeObject *base_tp = clinic_state()->teedataobject_type;
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PyObject *it;
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PyObject *values;
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PyObject *next;
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if ((type == base_tp || type->tp_init == base_tp->tp_init) &&
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!_PyArg_NoKeywords("teedataobject", kwargs)) {
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goto exit;
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}
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if (!_PyArg_CheckPositional("teedataobject", PyTuple_GET_SIZE(args), 3, 3)) {
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goto exit;
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}
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it = PyTuple_GET_ITEM(args, 0);
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if (!PyList_Check(PyTuple_GET_ITEM(args, 1))) {
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_PyArg_BadArgument("teedataobject", "argument 2", "list", PyTuple_GET_ITEM(args, 1));
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goto exit;
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}
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values = PyTuple_GET_ITEM(args, 1);
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next = PyTuple_GET_ITEM(args, 2);
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return_value = itertools_teedataobject_impl(type, it, values, next);
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exit:
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return return_value;
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}
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PyDoc_STRVAR(itertools__tee__doc__,
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"_tee(iterable, /)\n"
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"--\n"
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"\n"
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"Iterator wrapped to make it copyable.");
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static PyObject *
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itertools__tee_impl(PyTypeObject *type, PyObject *iterable);
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static PyObject *
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itertools__tee(PyTypeObject *type, PyObject *args, PyObject *kwargs)
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{
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PyObject *return_value = NULL;
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PyTypeObject *base_tp = clinic_state()->tee_type;
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PyObject *iterable;
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if ((type == base_tp || type->tp_init == base_tp->tp_init) &&
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!_PyArg_NoKeywords("_tee", kwargs)) {
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goto exit;
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}
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if (!_PyArg_CheckPositional("_tee", PyTuple_GET_SIZE(args), 1, 1)) {
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goto exit;
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}
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iterable = PyTuple_GET_ITEM(args, 0);
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return_value = itertools__tee_impl(type, iterable);
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exit:
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return return_value;
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}
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PyDoc_STRVAR(itertools_tee__doc__,
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"tee($module, iterable, n=2, /)\n"
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"--\n"
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"\n"
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"Returns a tuple of n independent iterators.");
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#define ITERTOOLS_TEE_METHODDEF \
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{"tee", _PyCFunction_CAST(itertools_tee), METH_FASTCALL, itertools_tee__doc__},
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static PyObject *
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itertools_tee_impl(PyObject *module, PyObject *iterable, Py_ssize_t n);
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static PyObject *
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itertools_tee(PyObject *module, PyObject *const *args, Py_ssize_t nargs)
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{
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PyObject *return_value = NULL;
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PyObject *iterable;
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Py_ssize_t n = 2;
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if (!_PyArg_CheckPositional("tee", nargs, 1, 2)) {
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goto exit;
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}
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iterable = args[0];
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if (nargs < 2) {
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goto skip_optional;
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}
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{
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Py_ssize_t ival = -1;
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PyObject *iobj = _PyNumber_Index(args[1]);
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if (iobj != NULL) {
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ival = PyLong_AsSsize_t(iobj);
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Py_DECREF(iobj);
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}
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if (ival == -1 && PyErr_Occurred()) {
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goto exit;
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}
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n = ival;
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}
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skip_optional:
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return_value = itertools_tee_impl(module, iterable, n);
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exit:
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return return_value;
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}
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PyDoc_STRVAR(itertools_cycle__doc__,
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"cycle(iterable, /)\n"
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"--\n"
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"\n"
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"Return elements from the iterable until it is exhausted. Then repeat the sequence indefinitely.");
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static PyObject *
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itertools_cycle_impl(PyTypeObject *type, PyObject *iterable);
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static PyObject *
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itertools_cycle(PyTypeObject *type, PyObject *args, PyObject *kwargs)
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{
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PyObject *return_value = NULL;
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PyTypeObject *base_tp = clinic_state()->cycle_type;
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PyObject *iterable;
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if ((type == base_tp || type->tp_init == base_tp->tp_init) &&
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!_PyArg_NoKeywords("cycle", kwargs)) {
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goto exit;
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}
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if (!_PyArg_CheckPositional("cycle", PyTuple_GET_SIZE(args), 1, 1)) {
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goto exit;
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}
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iterable = PyTuple_GET_ITEM(args, 0);
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return_value = itertools_cycle_impl(type, iterable);
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exit:
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return return_value;
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}
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PyDoc_STRVAR(itertools_dropwhile__doc__,
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"dropwhile(predicate, iterable, /)\n"
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"--\n"
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"\n"
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"Drop items from the iterable while predicate(item) is true.\n"
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"\n"
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"Afterwards, return every element until the iterable is exhausted.");
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static PyObject *
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itertools_dropwhile_impl(PyTypeObject *type, PyObject *func, PyObject *seq);
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static PyObject *
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itertools_dropwhile(PyTypeObject *type, PyObject *args, PyObject *kwargs)
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|
{
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PyObject *return_value = NULL;
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PyTypeObject *base_tp = clinic_state()->dropwhile_type;
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PyObject *func;
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PyObject *seq;
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if ((type == base_tp || type->tp_init == base_tp->tp_init) &&
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!_PyArg_NoKeywords("dropwhile", kwargs)) {
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goto exit;
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}
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if (!_PyArg_CheckPositional("dropwhile", PyTuple_GET_SIZE(args), 2, 2)) {
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goto exit;
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}
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func = PyTuple_GET_ITEM(args, 0);
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seq = PyTuple_GET_ITEM(args, 1);
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return_value = itertools_dropwhile_impl(type, func, seq);
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exit:
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return return_value;
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}
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PyDoc_STRVAR(itertools_takewhile__doc__,
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|
"takewhile(predicate, iterable, /)\n"
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|
"--\n"
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"\n"
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|
"Return successive entries from an iterable as long as the predicate evaluates to true for each entry.");
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|
|
|
static PyObject *
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itertools_takewhile_impl(PyTypeObject *type, PyObject *func, PyObject *seq);
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|
|
|
static PyObject *
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|
itertools_takewhile(PyTypeObject *type, PyObject *args, PyObject *kwargs)
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|
{
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|
PyObject *return_value = NULL;
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|
PyTypeObject *base_tp = clinic_state()->takewhile_type;
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|
PyObject *func;
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|
PyObject *seq;
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if ((type == base_tp || type->tp_init == base_tp->tp_init) &&
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|
!_PyArg_NoKeywords("takewhile", kwargs)) {
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goto exit;
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|
}
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|
if (!_PyArg_CheckPositional("takewhile", PyTuple_GET_SIZE(args), 2, 2)) {
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goto exit;
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}
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|
func = PyTuple_GET_ITEM(args, 0);
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seq = PyTuple_GET_ITEM(args, 1);
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return_value = itertools_takewhile_impl(type, func, seq);
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|
exit:
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return return_value;
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}
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|
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|
PyDoc_STRVAR(itertools_starmap__doc__,
|
|
"starmap(function, iterable, /)\n"
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|
"--\n"
|
|
"\n"
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|
"Return an iterator whose values are returned from the function evaluated with an argument tuple taken from the given sequence.");
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|
|
|
static PyObject *
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|
itertools_starmap_impl(PyTypeObject *type, PyObject *func, PyObject *seq);
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|
|
static PyObject *
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|
itertools_starmap(PyTypeObject *type, PyObject *args, PyObject *kwargs)
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|
{
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|
PyObject *return_value = NULL;
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|
PyTypeObject *base_tp = clinic_state()->starmap_type;
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PyObject *func;
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PyObject *seq;
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if ((type == base_tp || type->tp_init == base_tp->tp_init) &&
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!_PyArg_NoKeywords("starmap", kwargs)) {
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goto exit;
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}
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if (!_PyArg_CheckPositional("starmap", PyTuple_GET_SIZE(args), 2, 2)) {
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goto exit;
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}
|
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func = PyTuple_GET_ITEM(args, 0);
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seq = PyTuple_GET_ITEM(args, 1);
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return_value = itertools_starmap_impl(type, func, seq);
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exit:
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return return_value;
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}
|
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|
|
PyDoc_STRVAR(itertools_chain_from_iterable__doc__,
|
|
"from_iterable($type, iterable, /)\n"
|
|
"--\n"
|
|
"\n"
|
|
"Alternative chain() constructor taking a single iterable argument that evaluates lazily.");
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|
|
|
#define ITERTOOLS_CHAIN_FROM_ITERABLE_METHODDEF \
|
|
{"from_iterable", (PyCFunction)itertools_chain_from_iterable, METH_O|METH_CLASS, itertools_chain_from_iterable__doc__},
|
|
|
|
PyDoc_STRVAR(itertools_combinations__doc__,
|
|
"combinations(iterable, r)\n"
|
|
"--\n"
|
|
"\n"
|
|
"Return successive r-length combinations of elements in the iterable.\n"
|
|
"\n"
|
|
"combinations(range(4), 3) --> (0,1,2), (0,1,3), (0,2,3), (1,2,3)");
|
|
|
|
static PyObject *
|
|
itertools_combinations_impl(PyTypeObject *type, PyObject *iterable,
|
|
Py_ssize_t r);
|
|
|
|
static PyObject *
|
|
itertools_combinations(PyTypeObject *type, PyObject *args, PyObject *kwargs)
|
|
{
|
|
PyObject *return_value = NULL;
|
|
#if defined(Py_BUILD_CORE) && !defined(Py_BUILD_CORE_MODULE)
|
|
|
|
#define NUM_KEYWORDS 2
|
|
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(iterable), _Py_LATIN1_CHR('r'), },
|
|
};
|
|
#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[] = {"iterable", "r", NULL};
|
|
static _PyArg_Parser _parser = {
|
|
.keywords = _keywords,
|
|
.fname = "combinations",
|
|
.kwtuple = KWTUPLE,
|
|
};
|
|
#undef KWTUPLE
|
|
PyObject *argsbuf[2];
|
|
PyObject * const *fastargs;
|
|
Py_ssize_t nargs = PyTuple_GET_SIZE(args);
|
|
PyObject *iterable;
|
|
Py_ssize_t r;
|
|
|
|
fastargs = _PyArg_UnpackKeywords(_PyTuple_CAST(args)->ob_item, nargs, kwargs, NULL, &_parser,
|
|
/*minpos*/ 2, /*maxpos*/ 2, /*minkw*/ 0, /*varpos*/ 0, argsbuf);
|
|
if (!fastargs) {
|
|
goto exit;
|
|
}
|
|
iterable = fastargs[0];
|
|
{
|
|
Py_ssize_t ival = -1;
|
|
PyObject *iobj = _PyNumber_Index(fastargs[1]);
|
|
if (iobj != NULL) {
|
|
ival = PyLong_AsSsize_t(iobj);
|
|
Py_DECREF(iobj);
|
|
}
|
|
if (ival == -1 && PyErr_Occurred()) {
|
|
goto exit;
|
|
}
|
|
r = ival;
|
|
}
|
|
return_value = itertools_combinations_impl(type, iterable, r);
|
|
|
|
exit:
|
|
return return_value;
|
|
}
|
|
|
|
PyDoc_STRVAR(itertools_combinations_with_replacement__doc__,
|
|
"combinations_with_replacement(iterable, r)\n"
|
|
"--\n"
|
|
"\n"
|
|
"Return successive r-length combinations of elements in the iterable allowing individual elements to have successive repeats.\n"
|
|
"\n"
|
|
"combinations_with_replacement(\'ABC\', 2) --> (\'A\',\'A\'), (\'A\',\'B\'), (\'A\',\'C\'), (\'B\',\'B\'), (\'B\',\'C\'), (\'C\',\'C\')");
|
|
|
|
static PyObject *
|
|
itertools_combinations_with_replacement_impl(PyTypeObject *type,
|
|
PyObject *iterable,
|
|
Py_ssize_t r);
|
|
|
|
static PyObject *
|
|
itertools_combinations_with_replacement(PyTypeObject *type, PyObject *args, PyObject *kwargs)
|
|
{
|
|
PyObject *return_value = NULL;
|
|
#if defined(Py_BUILD_CORE) && !defined(Py_BUILD_CORE_MODULE)
|
|
|
|
#define NUM_KEYWORDS 2
|
|
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(iterable), _Py_LATIN1_CHR('r'), },
|
|
};
|
|
#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[] = {"iterable", "r", NULL};
|
|
static _PyArg_Parser _parser = {
|
|
.keywords = _keywords,
|
|
.fname = "combinations_with_replacement",
|
|
.kwtuple = KWTUPLE,
|
|
};
|
|
#undef KWTUPLE
|
|
PyObject *argsbuf[2];
|
|
PyObject * const *fastargs;
|
|
Py_ssize_t nargs = PyTuple_GET_SIZE(args);
|
|
PyObject *iterable;
|
|
Py_ssize_t r;
|
|
|
|
fastargs = _PyArg_UnpackKeywords(_PyTuple_CAST(args)->ob_item, nargs, kwargs, NULL, &_parser,
|
|
/*minpos*/ 2, /*maxpos*/ 2, /*minkw*/ 0, /*varpos*/ 0, argsbuf);
|
|
if (!fastargs) {
|
|
goto exit;
|
|
}
|
|
iterable = fastargs[0];
|
|
{
|
|
Py_ssize_t ival = -1;
|
|
PyObject *iobj = _PyNumber_Index(fastargs[1]);
|
|
if (iobj != NULL) {
|
|
ival = PyLong_AsSsize_t(iobj);
|
|
Py_DECREF(iobj);
|
|
}
|
|
if (ival == -1 && PyErr_Occurred()) {
|
|
goto exit;
|
|
}
|
|
r = ival;
|
|
}
|
|
return_value = itertools_combinations_with_replacement_impl(type, iterable, r);
|
|
|
|
exit:
|
|
return return_value;
|
|
}
|
|
|
|
PyDoc_STRVAR(itertools_permutations__doc__,
|
|
"permutations(iterable, r=None)\n"
|
|
"--\n"
|
|
"\n"
|
|
"Return successive r-length permutations of elements in the iterable.\n"
|
|
"\n"
|
|
"permutations(range(3), 2) --> (0,1), (0,2), (1,0), (1,2), (2,0), (2,1)");
|
|
|
|
static PyObject *
|
|
itertools_permutations_impl(PyTypeObject *type, PyObject *iterable,
|
|
PyObject *robj);
|
|
|
|
static PyObject *
|
|
itertools_permutations(PyTypeObject *type, PyObject *args, PyObject *kwargs)
|
|
{
|
|
PyObject *return_value = NULL;
|
|
#if defined(Py_BUILD_CORE) && !defined(Py_BUILD_CORE_MODULE)
|
|
|
|
#define NUM_KEYWORDS 2
|
|
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(iterable), _Py_LATIN1_CHR('r'), },
|
|
};
|
|
#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[] = {"iterable", "r", NULL};
|
|
static _PyArg_Parser _parser = {
|
|
.keywords = _keywords,
|
|
.fname = "permutations",
|
|
.kwtuple = KWTUPLE,
|
|
};
|
|
#undef KWTUPLE
|
|
PyObject *argsbuf[2];
|
|
PyObject * const *fastargs;
|
|
Py_ssize_t nargs = PyTuple_GET_SIZE(args);
|
|
Py_ssize_t noptargs = nargs + (kwargs ? PyDict_GET_SIZE(kwargs) : 0) - 1;
|
|
PyObject *iterable;
|
|
PyObject *robj = Py_None;
|
|
|
|
fastargs = _PyArg_UnpackKeywords(_PyTuple_CAST(args)->ob_item, nargs, kwargs, NULL, &_parser,
|
|
/*minpos*/ 1, /*maxpos*/ 2, /*minkw*/ 0, /*varpos*/ 0, argsbuf);
|
|
if (!fastargs) {
|
|
goto exit;
|
|
}
|
|
iterable = fastargs[0];
|
|
if (!noptargs) {
|
|
goto skip_optional_pos;
|
|
}
|
|
robj = fastargs[1];
|
|
skip_optional_pos:
|
|
return_value = itertools_permutations_impl(type, iterable, robj);
|
|
|
|
exit:
|
|
return return_value;
|
|
}
|
|
|
|
PyDoc_STRVAR(itertools_accumulate__doc__,
|
|
"accumulate(iterable, func=None, *, initial=None)\n"
|
|
"--\n"
|
|
"\n"
|
|
"Return series of accumulated sums (or other binary function results).");
|
|
|
|
static PyObject *
|
|
itertools_accumulate_impl(PyTypeObject *type, PyObject *iterable,
|
|
PyObject *binop, PyObject *initial);
|
|
|
|
static PyObject *
|
|
itertools_accumulate(PyTypeObject *type, PyObject *args, PyObject *kwargs)
|
|
{
|
|
PyObject *return_value = NULL;
|
|
#if defined(Py_BUILD_CORE) && !defined(Py_BUILD_CORE_MODULE)
|
|
|
|
#define NUM_KEYWORDS 3
|
|
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(iterable), &_Py_ID(func), &_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[] = {"iterable", "func", "initial", NULL};
|
|
static _PyArg_Parser _parser = {
|
|
.keywords = _keywords,
|
|
.fname = "accumulate",
|
|
.kwtuple = KWTUPLE,
|
|
};
|
|
#undef KWTUPLE
|
|
PyObject *argsbuf[3];
|
|
PyObject * const *fastargs;
|
|
Py_ssize_t nargs = PyTuple_GET_SIZE(args);
|
|
Py_ssize_t noptargs = nargs + (kwargs ? PyDict_GET_SIZE(kwargs) : 0) - 1;
|
|
PyObject *iterable;
|
|
PyObject *binop = Py_None;
|
|
PyObject *initial = Py_None;
|
|
|
|
fastargs = _PyArg_UnpackKeywords(_PyTuple_CAST(args)->ob_item, nargs, kwargs, NULL, &_parser,
|
|
/*minpos*/ 1, /*maxpos*/ 2, /*minkw*/ 0, /*varpos*/ 0, argsbuf);
|
|
if (!fastargs) {
|
|
goto exit;
|
|
}
|
|
iterable = fastargs[0];
|
|
if (!noptargs) {
|
|
goto skip_optional_pos;
|
|
}
|
|
if (fastargs[1]) {
|
|
binop = fastargs[1];
|
|
if (!--noptargs) {
|
|
goto skip_optional_pos;
|
|
}
|
|
}
|
|
skip_optional_pos:
|
|
if (!noptargs) {
|
|
goto skip_optional_kwonly;
|
|
}
|
|
initial = fastargs[2];
|
|
skip_optional_kwonly:
|
|
return_value = itertools_accumulate_impl(type, iterable, binop, initial);
|
|
|
|
exit:
|
|
return return_value;
|
|
}
|
|
|
|
PyDoc_STRVAR(itertools_compress__doc__,
|
|
"compress(data, selectors)\n"
|
|
"--\n"
|
|
"\n"
|
|
"Return data elements corresponding to true selector elements.\n"
|
|
"\n"
|
|
"Forms a shorter iterator from selected data elements using the selectors to\n"
|
|
"choose the data elements.");
|
|
|
|
static PyObject *
|
|
itertools_compress_impl(PyTypeObject *type, PyObject *seq1, PyObject *seq2);
|
|
|
|
static PyObject *
|
|
itertools_compress(PyTypeObject *type, PyObject *args, PyObject *kwargs)
|
|
{
|
|
PyObject *return_value = NULL;
|
|
#if defined(Py_BUILD_CORE) && !defined(Py_BUILD_CORE_MODULE)
|
|
|
|
#define NUM_KEYWORDS 2
|
|
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(data), &_Py_ID(selectors), },
|
|
};
|
|
#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[] = {"data", "selectors", NULL};
|
|
static _PyArg_Parser _parser = {
|
|
.keywords = _keywords,
|
|
.fname = "compress",
|
|
.kwtuple = KWTUPLE,
|
|
};
|
|
#undef KWTUPLE
|
|
PyObject *argsbuf[2];
|
|
PyObject * const *fastargs;
|
|
Py_ssize_t nargs = PyTuple_GET_SIZE(args);
|
|
PyObject *seq1;
|
|
PyObject *seq2;
|
|
|
|
fastargs = _PyArg_UnpackKeywords(_PyTuple_CAST(args)->ob_item, nargs, kwargs, NULL, &_parser,
|
|
/*minpos*/ 2, /*maxpos*/ 2, /*minkw*/ 0, /*varpos*/ 0, argsbuf);
|
|
if (!fastargs) {
|
|
goto exit;
|
|
}
|
|
seq1 = fastargs[0];
|
|
seq2 = fastargs[1];
|
|
return_value = itertools_compress_impl(type, seq1, seq2);
|
|
|
|
exit:
|
|
return return_value;
|
|
}
|
|
|
|
PyDoc_STRVAR(itertools_filterfalse__doc__,
|
|
"filterfalse(function, iterable, /)\n"
|
|
"--\n"
|
|
"\n"
|
|
"Return those items of iterable for which function(item) is false.\n"
|
|
"\n"
|
|
"If function is None, return the items that are false.");
|
|
|
|
static PyObject *
|
|
itertools_filterfalse_impl(PyTypeObject *type, PyObject *func, PyObject *seq);
|
|
|
|
static PyObject *
|
|
itertools_filterfalse(PyTypeObject *type, PyObject *args, PyObject *kwargs)
|
|
{
|
|
PyObject *return_value = NULL;
|
|
PyTypeObject *base_tp = clinic_state()->filterfalse_type;
|
|
PyObject *func;
|
|
PyObject *seq;
|
|
|
|
if ((type == base_tp || type->tp_init == base_tp->tp_init) &&
|
|
!_PyArg_NoKeywords("filterfalse", kwargs)) {
|
|
goto exit;
|
|
}
|
|
if (!_PyArg_CheckPositional("filterfalse", PyTuple_GET_SIZE(args), 2, 2)) {
|
|
goto exit;
|
|
}
|
|
func = PyTuple_GET_ITEM(args, 0);
|
|
seq = PyTuple_GET_ITEM(args, 1);
|
|
return_value = itertools_filterfalse_impl(type, func, seq);
|
|
|
|
exit:
|
|
return return_value;
|
|
}
|
|
|
|
PyDoc_STRVAR(itertools_count__doc__,
|
|
"count(start=0, step=1)\n"
|
|
"--\n"
|
|
"\n"
|
|
"Return a count object whose .__next__() method returns consecutive values.\n"
|
|
"\n"
|
|
"Equivalent to:\n"
|
|
" def count(firstval=0, step=1):\n"
|
|
" x = firstval\n"
|
|
" while 1:\n"
|
|
" yield x\n"
|
|
" x += step");
|
|
|
|
static PyObject *
|
|
itertools_count_impl(PyTypeObject *type, PyObject *long_cnt,
|
|
PyObject *long_step);
|
|
|
|
static PyObject *
|
|
itertools_count(PyTypeObject *type, PyObject *args, PyObject *kwargs)
|
|
{
|
|
PyObject *return_value = NULL;
|
|
#if defined(Py_BUILD_CORE) && !defined(Py_BUILD_CORE_MODULE)
|
|
|
|
#define NUM_KEYWORDS 2
|
|
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(start), &_Py_ID(step), },
|
|
};
|
|
#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[] = {"start", "step", NULL};
|
|
static _PyArg_Parser _parser = {
|
|
.keywords = _keywords,
|
|
.fname = "count",
|
|
.kwtuple = KWTUPLE,
|
|
};
|
|
#undef KWTUPLE
|
|
PyObject *argsbuf[2];
|
|
PyObject * const *fastargs;
|
|
Py_ssize_t nargs = PyTuple_GET_SIZE(args);
|
|
Py_ssize_t noptargs = nargs + (kwargs ? PyDict_GET_SIZE(kwargs) : 0) - 0;
|
|
PyObject *long_cnt = NULL;
|
|
PyObject *long_step = NULL;
|
|
|
|
fastargs = _PyArg_UnpackKeywords(_PyTuple_CAST(args)->ob_item, nargs, kwargs, NULL, &_parser,
|
|
/*minpos*/ 0, /*maxpos*/ 2, /*minkw*/ 0, /*varpos*/ 0, argsbuf);
|
|
if (!fastargs) {
|
|
goto exit;
|
|
}
|
|
if (!noptargs) {
|
|
goto skip_optional_pos;
|
|
}
|
|
if (fastargs[0]) {
|
|
long_cnt = fastargs[0];
|
|
if (!--noptargs) {
|
|
goto skip_optional_pos;
|
|
}
|
|
}
|
|
long_step = fastargs[1];
|
|
skip_optional_pos:
|
|
return_value = itertools_count_impl(type, long_cnt, long_step);
|
|
|
|
exit:
|
|
return return_value;
|
|
}
|
|
/*[clinic end generated code: output=199eeac2d17e8f23 input=a9049054013a1b77]*/
|