Cloned undirected graph

main
Dan Buch 6 months ago
parent db38eeada9
commit 9d36627e87
Signed by: meatballhat
GPG Key ID: A12F782281063434

@ -147,3 +147,23 @@ class Node:
ret += self.left.__list__() if self.left is not None else [None]
ret += self.next.__list__() if self.next is not None else [None]
return ret
class NeighborlyNode:
"""NeighborlyNode is a "Node" type used in leetcode graph puzzles"""
def __init__(self, val=0, neighbors=None):
self.val = val
self.neighbors = neighbors if neighbors is not None else []
class NeighborlyNodeNicely(typing.NamedTuple):
val: int
neighbors: list["NeighborlyNodeNicely"]
def __eq__(self, other: typing.Optional["NeighborlyNodeNicely"]) -> bool:
return (
other is not None
and self.val == other.val
and [n.val for n in self.neighbors] == [n.val for n in other.neighbors]
)

@ -1,6 +1,5 @@
import collections.abc
import copy
import itertools
import math
import random
import typing
@ -581,3 +580,48 @@ def accum_sub_array_maxes(nums: list[int]) -> list[int]:
accum.append(max(nums[i], prev))
return accum
def neighborly_node_from_list(inlist: list[list[int]]):
# Alias "Node" type for leetcode compat
Node = stdlib.NeighborlyNodeNicely
if len(inlist) == 0:
return None
outlist = [Node(i + 1, []) for i in range(len(inlist))]
for i in range(len(inlist)):
outlist[i].neighbors[:] = []
for neighbor_val in inlist[i]:
outlist[i].neighbors.append(outlist[neighbor_val - 1])
return outlist[0]
def neighborly_node_to_list(node) -> list[list[int]]:
serialized: dict[int, list[int]] = {}
for cur in traverse_neighborly_node(node, serialized):
if cur is None:
break
serialized[cur.val] = [n.val for n in cur.neighbors]
return [v for _, v in sorted(serialized.items())]
def traverse_neighborly_node(
node: stdlib.NeighborlyNodeNicely, memo: collections.abc.Container[int]
) -> typing.Iterator[stdlib.NeighborlyNodeNicely | None]:
yield node
if node is None:
return
for neighbor in node.neighbors:
if neighbor.val in memo:
continue
yield from traverse_neighborly_node(neighbor, memo)

@ -475,3 +475,19 @@ def test_trie_busy():
)
def test_max_sub_array(nums: list[int], expected: int):
assert stuff.sum_max_sub_array(nums) == expected
@pytest.mark.parametrize(
("inlist",),
[
([[2, 3, 4], [1, 7], [1], [1, 5, 6, 8], [4], [4], [2], [4]],),
([[2, 4], [1, 3], [2, 4], [1, 3]],),
],
)
def test_copy_neighborly_node(inlist):
orig = stuff.neighborly_node_from_list(inlist)
copied = stuff.neighborly_node_from_list(stuff.neighborly_node_to_list(orig))
assert id(orig) != id(copied)
assert orig == copied
assert stuff.neighborly_node_to_list(orig) == stuff.neighborly_node_to_list(copied)

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