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March 12, 2015 15:32
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f4.py
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from __future__ import print_function | |
class Node(object): | |
def __init__(self, data, next=None, random=None): | |
self.data = data | |
self.next = next | |
self.random = random | |
def __repr_ref(self, ref): | |
data = ref and ref.data | |
flag = ref and getattr(ref, 'flag', '') | |
return '{} ({})'.format(data if data is not None else '-', | |
flag if flag is not None else '-') | |
def __repr__(self): | |
return 'Node({})<{}, {}, {}>'.format(getattr(self, 'flag', ''), | |
self.data, | |
self.__repr_ref(self.next), | |
self.__repr_ref(self.random)) | |
def __iter__(self): | |
node = self | |
yield node | |
while node.next: | |
node = node.next | |
yield node | |
def _create_copy_objects(self): | |
"""step 1 | |
create `copy` object with `base` data | |
set next references: | |
- `copy.next` to `base.random` | |
- `base.random` to `copy` object | |
so: | |
- base still know about next node and know about copy | |
- copy object have real data and reference to `base.random` | |
- we still can get base random as `base.random.next` | |
- we can get copy random as `copy.next.random` | |
complexity of one iteration = O(n) | |
""" | |
base_node = self | |
copy_first = None | |
while base_node: | |
copy_node = Node(base_node.data, next=base_node.random) | |
base_node.random = copy_node | |
if not copy_first: | |
copy_first = copy_node | |
base_node = base_node.next | |
return copy_first | |
def _resolve_copy_random(self): | |
"""step 2 | |
set next references: | |
- `copy.random` to `copy` like initial base random | |
so: | |
- we have result as in previous step | |
- we also have right `copy.random` references | |
complexity of one iteration = O(n) | |
""" | |
base_node = self | |
while base_node: | |
copy_node = base_node.random | |
copy_node.random = copy_node.next and copy_node.next.random | |
base_node = base_node.next | |
def _back_base_random_and_set_copy_next(self): | |
"""step 3 | |
set next references: | |
- `base.random` to initial base random | |
- `copy.next` like base next | |
so we have complete copy | |
complexity of one iteration = O(n) | |
""" | |
base_node = self | |
copy_prev = None | |
while base_node: | |
copy_node = base_node.random | |
base_node.random = copy_node.next | |
copy_node.next = None | |
if copy_prev: | |
copy_prev.next = copy_node | |
copy_prev = copy_node | |
base_node = base_node.next | |
def copy(self): | |
"""full linked list copy | |
create copy objects complexity = O(n) | |
resolve copy random complexity = O(n) | |
back base random and set copy next = O(n) | |
so overall complexity = O(n) + O(n) + O(n) = O(3n) => O(n) | |
""" | |
copy_first = self._create_copy_objects() | |
self._resolve_copy_random() | |
self._back_base_random_and_set_copy_next() | |
return copy_first | |
### TEST ### | |
def _generate_test_data(): | |
"""just test data: | |
- plain references | |
- self references | |
- cycle references | |
- null references | |
""" | |
t = [Node(0), Node(1), Node(2), Node(3), Node(4), Node(5), Node(6), Node(7)] | |
t[0].next, t[0].random = t[1], t[3] | |
t[1].next, t[1].random = t[2], t[2] | |
t[2].next, t[2].random = t[3], t[1] | |
t[3].next, t[3].random = t[4], t[3] | |
t[4].next, t[4].random = t[5], t[7] | |
t[5].next, t[5].random = t[6], t[5] | |
t[6].next, t[6].random = t[7], None | |
t[7].next, t[7].random = None, t[4] | |
return t | |
def _increment_node_flag(): | |
"""increment Node object flag to see differences for copy output""" | |
global Node | |
Node = type('Node', (Node,), {'flag': getattr(Node, 'flag', -1) + 1}) | |
if __name__ == '__main__': | |
_increment_node_flag() | |
test_data = _generate_test_data() | |
_increment_node_flag() | |
old_base = str(test_data) | |
copy = str(list(test_data[0].copy())) | |
new_base = str(test_data) | |
print('Base:', old_base) | |
print('Copy:', copy) | |
print() | |
print('Base before:', old_base) | |
print('Base after :', new_base) | |
print('Base not changed:', old_base == new_base) |
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