This happens in Python 2.7.6 and 3.3.3 for me. When I define a class like this
class foo:
def __getitem__(self, *args):
print(*args)
And then try to iterate (and what I thought would call iter) on an instance,
bar = foo()
for i in bar:
print(i)
it just counts up by one for the args and prints None forever. Is this intentional as far as the language design is concerned?
Sample output
0
None
1
None
2
None
3
None
4
None
5
None
6
None
7
None
8
None
9
None
10
None
The __iter__() function returns an iterator for the given object (array, set, tuple, etc. or custom objects). It creates an object that can be accessed one element at a time using __next__() function, which generally comes in handy when dealing with loops. Syntax : iter(object) iter(callable, sentinel)
The iter() function returns an iterator object.
An Iterable is basically an object that any user can iterate over. An Iterator is also an object that helps a user in iterating over another object (that is iterable). Method Used. We can generate an iterator when we pass the object to the iter() method.
An iterator is an object that contains a countable number of values. An iterator is an object that can be iterated upon, meaning that you can traverse through all the values. Technically, in Python, an iterator is an object which implements the iterator protocol, which consist of the methods __iter__() and __next__() .
Yes, this is an intended design. It is documented, well-tested, and relied upon by sequence types such as str.
The __getitem__ version is a legacy before Python had modern iterators. The idea was that any sequence (something that is indexable and has a length) would be automatically iterable using the series s[0], s[1], s[2], ... until IndexError or StopIteration is raised.
In Python 2.7 for example, strings are iterable because of the __getitem__ method (the str type does not have an __iter__ method).
In contrast, the iterator protocol lets any class be iterable without necessarily being indexable (dicts and sets for example).
Here is how to make an iterable class using the legacy style for sequences:
>>> class A:
def __getitem__(self, index):
if index >= 10:
raise IndexError
return index * 111
>>> list(A())
[0, 111, 222, 333, 444, 555, 666, 777, 888, 999]
Here is how to make an iterable using the __iter__ approach:
>>> class B:
def __iter__(self):
yield 10
yield 20
yield 30
>>> list(B())
[10, 20, 30]
For those who are interested in the details, the relevant code is in Objects/iterobject.c:
static PyObject *
iter_iternext(PyObject *iterator)
{
seqiterobject *it;
PyObject *seq;
PyObject *result;
assert(PySeqIter_Check(iterator));
it = (seqiterobject *)iterator;
seq = it->it_seq;
if (seq == NULL)
return NULL;
result = PySequence_GetItem(seq, it->it_index);
if (result != NULL) {
it->it_index++;
return result;
}
if (PyErr_ExceptionMatches(PyExc_IndexError) ||
PyErr_ExceptionMatches(PyExc_StopIteration))
{
PyErr_Clear();
Py_DECREF(seq);
it->it_seq = NULL;
}
return NULL;
}
and in Objects/abstract.c:
int
PySequence_Check(PyObject *s)
{
if (s == NULL)
return 0;
if (PyInstance_Check(s))
return PyObject_HasAttrString(s, "__getitem__");
if (PyDict_Check(s))
return 0;
return s->ob_type->tp_as_sequence &&
s->ob_type->tp_as_sequence->sq_item != NULL;
}
__iter__
is the preferred way to iterate through an iterable object. If it is not defined the interpreter will try to simulate its behavior using __getitem__
. Take a look here
To get the result you are expecting, you need to have a data element with limited len and return each in sequence:
class foo:
def __init__(self):
self.data=[10,11,12]
def __getitem__(self, arg):
print('__getitem__ called with arg {}'.format(arg))
return self.data[arg]
bar = foo()
for i in bar:
print('__getitem__ returned {}'.format(i))
Prints:
__getitem__ called with arg 0
__getitem__ returned 10
__getitem__ called with arg 1
__getitem__ returned 11
__getitem__ called with arg 2
__getitem__ returned 12
__getitem__ called with arg 3
Or you can signal the end of the 'sequence' by raising IndexError
(although StopIteration
works as well...):
class foo:
def __getitem__(self, arg):
print('__getitem__ called with arg {}'.format(arg))
if arg>3:
raise IndexError
else:
return arg
bar = foo()
for i in bar:
print('__getitem__ returned {}'.format(i))
Prints:
__getitem__ called with arg 0
__getitem__ returned 0
__getitem__ called with arg 1
__getitem__ returned 1
__getitem__ called with arg 2
__getitem__ returned 2
__getitem__ called with arg 3
__getitem__ returned 3
__getitem__ called with arg 4
The for loop is expecting either IndexError
or StopIteration
to signal the end of the sequence.
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