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""" This module is designed to be used as follows:: from past.builtins.noniterators import filter, map, range, reduce, zip And then, for example:: assert isinstance(range(5), list) The list-producing functions this brings in are:: - ``filter`` - ``map`` - ``range`` - ``reduce`` - ``zip`` """ from __future__ import division, absolute_import, print_function from itertools import chain, starmap import itertools # since zip_longest doesn't exist on Py2 from past.types import basestring from past.utils import PY3 def flatmap(f, items): return chain.from_iterable(map(f, items)) if PY3: import builtins # list-producing versions of the major Python iterating functions def oldfilter(*args): """ filter(function or None, sequence) -> list, tuple, or string Return those items of sequence for which function(item) is true. If function is None, return the items that are true. If sequence is a tuple or string, return the same type, else return a list. """ mytype = type(args[1]) if isinstance(args[1], basestring): return mytype().join(builtins.filter(*args)) elif isinstance(args[1], (tuple, list)): return mytype(builtins.filter(*args)) else: # Fall back to list. Is this the right thing to do? return list(builtins.filter(*args)) # This is surprisingly difficult to get right. For example, the # solutions here fail with the test cases in the docstring below: # http://stackoverflow.com/questions/8072755/ def oldmap(func, *iterables): """ map(function, sequence[, sequence, ...]) -> list Return a list of the results of applying the function to the items of the argument sequence(s). If more than one sequence is given, the function is called with an argument list consisting of the corresponding item of each sequence, substituting None for missing values when not all sequences have the same length. If the function is None, return a list of the items of the sequence (or a list of tuples if more than one sequence). Test cases: >>> oldmap(None, 'hello world') ['h', 'e', 'l', 'l', 'o', ' ', 'w', 'o', 'r', 'l', 'd'] >>> oldmap(None, range(4)) [0, 1, 2, 3] More test cases are in past.tests.test_builtins. """ zipped = itertools.zip_longest(*iterables) l = list(zipped) if len(l) == 0: return [] if func is None: result = l else: result = list(starmap(func, l)) # Inspect to see whether it's a simple sequence of tuples try: if max([len(item) for item in result]) == 1: return list(chain.from_iterable(result)) # return list(flatmap(func, result)) except TypeError as e: # Simple objects like ints have no len() pass return result ############################ ### For reference, the source code for Py2.7 map function: # static PyObject * # builtin_map(PyObject *self, PyObject *args) # { # typedef struct { # PyObject *it; /* the iterator object */ # int saw_StopIteration; /* bool: did the iterator end? */ # } sequence; # # PyObject *func, *result; # sequence *seqs = NULL, *sqp; # Py_ssize_t n, len; # register int i, j; # # n = PyTuple_Size(args); # if (n < 2) { # PyErr_SetString(PyExc_TypeError, # "map() requires at least two args"); # return NULL; # } # # func = PyTuple_GetItem(args, 0); # n--; # # if (func == Py_None) { # if (PyErr_WarnPy3k("map(None, ...) not supported in 3.x; " # "use list(...)", 1) < 0) # return NULL; # if (n == 1) { # /* map(None, S) is the same as list(S). */ # return PySequence_List(PyTuple_GetItem(args, 1)); # } # } # # /* Get space for sequence descriptors. Must NULL out the iterator # * pointers so that jumping to Fail_2 later doesn't see trash. # */ # if ((seqs = PyMem_NEW(sequence, n)) == NULL) { # PyErr_NoMemory(); # return NULL; # } # for (i = 0; i < n; ++i) { # seqs[i].it = (PyObject*)NULL; # seqs[i].saw_StopIteration = 0; # } # # /* Do a first pass to obtain iterators for the arguments, and set len # * to the largest of their lengths. # */ # len = 0; # for (i = 0, sqp = seqs; i < n; ++i, ++sqp) { # PyObject *curseq; # Py_ssize_t curlen; # # /* Get iterator. */ # curseq = PyTuple_GetItem(args, i+1); # sqp->it = PyObject_GetIter(curseq); # if (sqp->it == NULL) { # static char errmsg[] = # "argument %d to map() must support iteration"; # char errbuf[sizeof(errmsg) + 25]; # PyOS_snprintf(errbuf, sizeof(errbuf), errmsg, i+2); # PyErr_SetString(PyExc_TypeError, errbuf); # goto Fail_2; # } # # /* Update len. */ # curlen = _PyObject_LengthHint(curseq, 8); # if (curlen > len) # len = curlen; # } # # /* Get space for the result list. */ # if ((result = (PyObject *) PyList_New(len)) == NULL) # goto Fail_2; # # /* Iterate over the sequences until all have stopped. */ # for (i = 0; ; ++i) { # PyObject *alist, *item=NULL, *value; # int numactive = 0; # # if (func == Py_None && n == 1) # alist = NULL; # else if ((alist = PyTuple_New(n)) == NULL) # goto Fail_1; # # for (j = 0, sqp = seqs; j < n; ++j, ++sqp) { # if (sqp->saw_StopIteration) { # Py_INCREF(Py_None); # item = Py_None; # } # else { # item = PyIter_Next(sqp->it); # if (item) # ++numactive; # else { # if (PyErr_Occurred()) { # Py_XDECREF(alist); # goto Fail_1; # } # Py_INCREF(Py_None); # item = Py_None; # sqp->saw_StopIteration = 1; # } # } # if (alist) # PyTuple_SET_ITEM(alist, j, item); # else # break; # } # # if (!alist) # alist = item; # # if (numactive == 0) { # Py_DECREF(alist); # break; # } # # if (func == Py_None) # value = alist; # else { # value = PyEval_CallObject(func, alist); # Py_DECREF(alist); # if (value == NULL) # goto Fail_1; # } # if (i >= len) { # int status = PyList_Append(result, value); # Py_DECREF(value); # if (status < 0) # goto Fail_1; # } # else if (PyList_SetItem(result, i, value) < 0) # goto Fail_1; # } # # if (i < len && PyList_SetSlice(result, i, len, NULL) < 0) # goto Fail_1; # # goto Succeed; # # Fail_1: # Py_DECREF(result); # Fail_2: # result = NULL; # Succeed: # assert(seqs); # for (i = 0; i < n; ++i) # Py_XDECREF(seqs[i].it); # PyMem_DEL(seqs); # return result; # } def oldrange(*args, **kwargs): return list(builtins.range(*args, **kwargs)) def oldzip(*args, **kwargs): return list(builtins.zip(*args, **kwargs)) filter = oldfilter map = oldmap range = oldrange from functools import reduce zip = oldzip __all__ = ['filter', 'map', 'range', 'reduce', 'zip'] else: import __builtin__ # Python 2-builtin ranges produce lists filter = __builtin__.filter map = __builtin__.map range = __builtin__.range reduce = __builtin__.reduce zip = __builtin__.zip __all__ = []