I\'ve such a problem:
There is a list of elements of class CAnswer (no need to describe the class), and I need to shuffle it, but with one constraint -
Use the fact that a list has fast remove and insert:
See https://stackoverflow.com/a/25233037/3449962 for a more general solution.
This will use in-place operations with memory overhead that depends on the number of fixed elements in the list. Linear in time. A possible implementation of shuffle_subset:
#!/usr/bin/env python
"""Shuffle elements in a list, except for a sub-set of the elments.
The sub-set are those elements that should retain their position in
the list. Some example usage:
>>> from collections import namedtuple
>>> class CAnswer(namedtuple("CAnswer","x fixed")):
... def __bool__(self):
... return self.fixed is True
... __nonzero__ = __bool__ # For Python 2. Called by bool in Py2.
... def __repr__(self):
... return "".format(self.x)
...
>>> val = [3, 2, 0, 1, 5, 9, 4]
>>> fix = [2, 5]
>>> lst = [ CAnswer(v, i in fix) for i, v in enumerate(val)]
>>> print("Start ", 0, ": ", lst)
Start 0 : [, , , , , , ]
Using a predicate to filter.
>>> for i in range(4): # doctest: +NORMALIZE_WHITESPACE
... shuffle_subset(lst, lambda x : x.fixed)
... print([lst[i] for i in fix], end=" ")
...
[, ] [, ] [, ] [, ]
>>> for i in range(4): # doctest: +NORMALIZE_WHITESPACE
... shuffle_subset(lst) # predicate = bool()
... print([lst[i] for i in fix], end=" ")
...
[, ] [, ] [, ] [, ]
"""
from __future__ import print_function
import random
def shuffle_subset(lst, predicate=None):
"""All elements in lst, except a sub-set, are shuffled.
The predicate defines the sub-set of elements in lst that should
not be shuffled:
+ The predicate is a callable that returns True for fixed
elements, predicate(element) --> True or False.
+ If the predicate is None extract those elements where
bool(element) == True.
"""
predicate = bool if predicate is None else predicate
fixed_subset = [(i, e) for i, e in enumerate(lst) if predicate(e)]
fixed_subset.reverse() # Delete fixed elements from high index to low.
for i, _ in fixed_subset:
del lst[i]
random.shuffle(lst)
fixed_subset.reverse() # Insert fixed elements from low index to high.
for i, e in fixed_subset:
lst.insert(i, e)
if __name__ == "__main__":
import doctest
doctest.testmod()