In a network of nodes, each node i is directly connected to another node j if and only if graph[i][j] = 1.
Some nodes initial are initially infected by malware.  Whenever two nodes are directly connected and at least one of those two nodes is infected by malware, both nodes will be infected by malware.  This spread of malware will continue until no more nodes can be infected in this manner.
Suppose M(initial) is the final number of nodes infected with malware in the entire network, after the spread of malware stops.
We will remove one node from the initial list.  Return the node that if removed, would minimize M(initial).  If multiple nodes could be removed to minimize M(initial), return such a node with the smallest index.
Note that if a node was removed from the initial list of infected nodes, it may still be infected later as a result of the malware spread.
 


Example 1:
Input: graph = [[1,1,0],[1,1,0],[0,0,1]], initial = [0,1]
Output: 0

Example 2:
Input: graph = [[1,0,0],[0,1,0],[0,0,1]], initial = [0,2]
Output: 0

Example 3:
Input: graph = [[1,1,1],[1,1,1],[1,1,1]], initial = [1,2]
Output: 1

 
Note:

1 < graph.length = graph[0].length <= 300
0 <= graph[i][j] == graph[j][i] <= 1
graph[i][i] == 1
1 <= initial.length <= graph.length
0 <= initial[i] < graph.length

```python

USER_FILENAME = "<user_code>"
import sys, json, builtins
import math, heapq, bisect, itertools, functools, collections, statistics, fractions, decimal, operator, array, random, re, string, os, pathlib
try:
    import resource as _res
except Exception:
    _res = None
from collections import Counter, defaultdict, deque, OrderedDict
from functools import lru_cache, reduce
from itertools import accumulate, permutations, combinations, product
from math import gcd, ceil, floor, sqrt
from decimal import Decimal
try:
    from typing import *
except Exception:
    pass
try:
    sys.setrecursionlimit(1_000_000)
except Exception:
    pass
try:
    import site as _site
    try:
        _sys_sites = _site.getsitepackages() if hasattr(_site, "getsitepackages") else []
        for _p in _sys_sites:
            if _p and _p not in sys.path:
                sys.path.append(_p)
    except Exception:
        pass
    try:
        _usp = _site.getusersitepackages()
        if isinstance(_usp, str):
            _usp = [_usp]
        for _p in _usp:
            if _p and _p not in sys.path:
                sys.path.append(_p)
    except Exception:
        pass
except Exception:
    pass

def _disabled_input(*args, **kwargs):
    raise RuntimeError("input() is disabled in callable mode")
builtins.input = _disabled_input

ns = {"__name__": "__judge__"}  # prevent if __name__ == "__main__" blocks
for _k, _v in list(globals().items()):
    if not _k.startswith("_"):
        ns[_k] = _v
_CODE = "class Solution:\n    def minMalwareSpread(self, graph: List[List[int]], initial: List[int]) -> int:\n        # DFS: O(N^2) Time, O(N) Space\n        # Tricky: [[1,1,0],[1,1,0],[0,0,1]], [0,1,2] -> If we remove 0, 1 can still infect 0 and we end up with 3 infected nodes. If we remove 2, we end up with 2 infected nodes -> SO we cant remove the node with the highest number of neighbors\n        # New algorithm: We need to know which nodes are in the same component -> then no point in removing them since the other nodes would still infect it eventually\n        \n        # 1. Color each component\n        # colors[node] = the color of this node.\n        sizeComponents = defaultdict(int)\n        nodesToComponents = defaultdict(int)\n        c = 0\n        def dfs(node, c):\n            sizeComponents[c] += 1\n            nodesToComponents[node] = c\n            for neighbor in range(len(graph[node])):\n                if graph[node][neighbor] == 1 and node != neighbor:\n                    if neighbor not in nodesToComponents:\n                        dfs(neighbor, c)\n                        \n                    \n        for node in range(len(graph)):\n            if node not in nodesToComponents:\n                dfs(node, c)\n                c += 1\n        \n        # 2. Map initial node to the size of their components\n        # initialComponents = defaultdict(int)\n        # for node in initial:\n        #     component = nodesToComponents[node]\n        #     initialComponents[node] = sizeComponents[component]\n        \n        # 2. Apparently, the question wants you to find which nodes in initial are in unique components\n        initialComponents = defaultdict(int)\n        for node in initial:\n            component = nodesToComponents[node]\n            initialComponents[component] += 1\n            \n        # 3. Find node with unique component, i.e. size of component == 1\n        res = float('inf')\n        for node in initial:\n            component = nodesToComponents[node]\n            size = sizeComponents[component]\n            if initialComponents[component] == 1: # if this is the only\n                if res == float('inf'):\n                    res = node\n                elif size > sizeComponents[nodesToComponents[res]]:\n                    res = node\n                elif size == sizeComponents[nodesToComponents[res]] and node < res:\n                    res = node\n\n        return res if res < float('inf') else min(initial)    "
_co = compile(_CODE, USER_FILENAME, "exec")
exec(_co, ns, ns)

_target = None
_fn_name = 'minMalwareSpread'
if _fn_name:
    if "Solution" in ns:
        try:
            _obj = ns["Solution"]()
            if hasattr(_obj, _fn_name):
                _target = getattr(_obj, _fn_name)
        except Exception:
            _target = None
    if _target is None and _fn_name in ns and callable(ns[_fn_name]):
        _target = ns[_fn_name]
# Fallback: if there's exactly one user-defined function, use it
if _target is None:
    _cands = [v for k, v in ns.items() if callable(v) and getattr(v, "__module__", "") in ("__judge__", "__main__")]
    _user_funcs = [c for c in _cands if getattr(c, "__name__", "").startswith("_") is False]
    if len(_user_funcs) == 1:
        _target = _user_funcs[0]
if _target is None:
    raise RuntimeError(f"Could not resolve callable '{_fn_name}'")

_raw = sys.stdin.read().strip()
if _raw:
    _parsed = json.loads(_raw)
    if isinstance(_parsed, dict):
        _kwargs = _parsed.get("kwargs", {})
        _args = _parsed.get("args", [])
    else:
        _args, _kwargs = _parsed, {}
else:
    _args, _kwargs = [], {}
if not isinstance(_args, (list, tuple)):
    _args = [_args]
_res = _target(*_args, **_kwargs)
try:
    sys.stdout.write(repr(_res) + "\n")
except Exception:
    pass

```

Measured memory_bytes: 7042