### BUGGY CODE ###

class UnionFind:
    def __init__(self, N):
        # negative value: represents the root of a tree; its absolute value is the size of the tree
        # positive value: the parent's index
        self.vertices = [-1 for _ in range(N)]
        self.rank = [0] * N
        
    def find(self, v):
        if self.vertices[v] < 0: # v is a root
            return v
        else:
            # path compression: reconnect v to the root
            self.vertices[v] = self.find(self.vertices[v])
            return self.vertices[v]
        
    def union(self, u, v):
        s1 = self.find(u) # the root of the tree including vertex u
        s2 = self.find(v) # the root of the tree including vertex v
        
        if s1 == s2: # u and v is in the same tree
            return False
        
        if self.rank[s1] > self.rank[s2]: # the tree including u is taller
            self.vertices[s1] += self.vertices[s2] # update the size of the bigger tree
            self.vertices[s2] = s1
        else: # the tree including v is taller
            self.vertices[s2] += self.vertices[s1] # update the size of the bigger tree
            self.vertices[s1] = s2
            if self.rank[s1] == self.rank[s2]:
                self.rank[s2] += 1
        return True
        
    def is_connected(self, u, v):
        return self.find(u) == self.find(v)
    
    def size(self, v):
        return -self.vertices[self.find(v)]

N, M, K = map(int, input().split())
uf_fr = UnionFind(N)
friends = [set([]) for _ in range(N)]
brocks = [set([]) for _ in range(N)]
for _ in range(M):
    a, b = map(int, input().split())
    a -= 1; b -= 1
    friends[a] |= {b}
    friends[b] |= {a}
    uf_fr.union(a, b)
for _ in range(K):
    a, b = map(int, input().split())
    a -= 1; b -= 1
    brocks[a] |= {b}
    brocks[b] |= {a}
clusters = {}
for i in range(N):
    clusters.setdefault(uf_fr.find(i), set([]))
    clusters[uf_fr.find(i)] |= {i}
print(*[len(clusters[uf_fr.find(i)] - brocks[i]) - 1 - len(friends[i]) for i in range(N)])

### FIXED CODE ###

import sys

input = sys.stdin.readline

class UnionFind:
    def __init__(self, N):
        # negative value: represents the root of a tree; its absolute value is the size of the tree
        # positive value: the parent's index
        self.vertices = [-1 for _ in range(N)]
        self.rank = [0] * N
        
    def find(self, v):
        if self.vertices[v] < 0: # v is a root
            return v
        else:
            # path compression: reconnect v to the root
            self.vertices[v] = self.find(self.vertices[v])
            return self.vertices[v]
        
    def union(self, u, v):
        s1 = self.find(u) # the root of the tree including vertex u
        s2 = self.find(v) # the root of the tree including vertex v
        
        if s1 == s2: # u and v is in the same tree
            return False
        
        if self.rank[s1] > self.rank[s2]: # the tree including u is taller
            self.vertices[s1] += self.vertices[s2] # update the size of the bigger tree
            self.vertices[s2] = s1
        else: # the tree including v is taller
            self.vertices[s2] += self.vertices[s1] # update the size of the bigger tree
            self.vertices[s1] = s2
            if self.rank[s1] == self.rank[s2]:
                self.rank[s2] += 1
        return True
        
    def is_connected(self, u, v):
        return self.find(u) == self.find(v)
    
    def size(self, v):
        return -self.vertices[self.find(v)]

N, M, K = map(int, input().split())
uf_fr = UnionFind(N)
n_friends = [0] * N
for _ in range(M):
    a, b = map(int, input().split())
    a -= 1; b -= 1
    n_friends[a] += 1
    n_friends[b] += 1
    uf_fr.union(a, b)
ans = [uf_fr.size(i) - 1 - n_friends[i] for i in range(N)]
for _ in range(K):
    a, b = map(int, input().split())
    a -= 1; b -= 1
    if uf_fr.is_connected(a, b):
        ans[a] -= 1; ans[b] -= 1
print(*ans)