import typing class DSU: ''' Implement (union by size) + (path halving) Reference: Zvi Galil and Giuseppe F. Italiano, Data structures and algorithms for disjoint set union problems ''' def __init__(self, n: int = 0) -> None: self._n = n self.parent_or_size = [-1] * n def merge(self, a: int, b: int) -> int: assert 0 <= a < self._n assert 0 <= b < self._n x = self.leader(a) y = self.leader(b) if x == y: return x if -self.parent_or_size[x] < -self.parent_or_size[y]: x, y = y, x self.parent_or_size[x] += self.parent_or_size[y] self.parent_or_size[y] = x return x def same(self, a: int, b: int) -> bool: assert 0 <= a < self._n assert 0 <= b < self._n return self.leader(a) == self.leader(b) def leader(self, a: int) -> int: assert 0 <= a < self._n parent = self.parent_or_size[a] while parent >= 0: if self.parent_or_size[parent] < 0: return parent self.parent_or_size[a], a, parent = ( self.parent_or_size[parent], self.parent_or_size[parent], self.parent_or_size[self.parent_or_size[parent]] ) return a def size(self, a: int) -> int: assert 0 <= a < self._n return -self.parent_or_size[self.leader(a)] def groups(self) -> typing.List[typing.List[int]]: leader_buf = [self.leader(i) for i in range(self._n)] result: typing.List[typing.List[int]] = [[] for _ in range(self._n)] for i in range(self._n): result[leader_buf[i]].append(i) return list(filter(lambda r: r, result)) N, M = map(int, input().split()) e = [tuple(map(int, input().split())) for _ in range(M)] e.sort(key = lambda i: i[2]) T = int(input()) R = list(map(int, input().split())) Ri = [(R[i], i) for i in range(T)] Ri.sort() c = N ans = [0] * T uf = DSU(N) d = 0 for r, i in Ri: while d < M and e[d][2] <= r: if not uf.same(e[d][0], e[d][1]): uf.merge(e[d][0], e[d][1]) c -= 1 d += 1 ans[i] = c print(*ans, sep = '\n')