itermate

Iterator-tools for functional programming.

Usage

iapply()

Applies function similar to itertools.imap but returns another item iterator instead of the called function's results.

>>> import sys
>>> import itermate

>>> strings = ["foo", "bar"]
>>> strings = itermate.iapply( sys.stdout.write, strings )
>>> list(strings)
foobar
["foo", "bar"]

unique()

Generator yielding each element only once.

>>> import itermate

>>> l = [1, 2, 1, 2]
>>> [elem for elem in itermate.unique(l)]
[1, 2]

imapchain()

Like itertools.imap but also chains the results.

>>> import itermate

>>> numbers = itermate.imapchain( lambda n: (n, n*2), [1, 3] )
>>> list( numbers )
[1, 2, 3, 6]

operator.attrsetter()

Sets attribute and returns new item iterator.

>>> import itertools
>>> import itermate.operator

>>> class Foo(object):
>>>     bar = 0
>>>     def __repr__(self):
>>>         return unicode(self.bar)

>>> gen_foos = itertools.imap( attrsetter("bar", "spam"), (Foo() for i in range(3)) )
>>> list(gen_foos)
[spam, spam, spam]

>>> gen_foos = itertools.imap( attrsetter("bar"),         (Foo() for i in range(3)), ["bacon", "egg", "sausage"] )
>>> list(gen_foos)
[bacon, egg, sausage]