class Graph:
    def __init__(self,V,edges=None,graph=None,directed=False,weighted=False,inf=float("inf")):
        self.V=V
        self.directed=directed
        self.weighted=weighted
        self.inf=inf
        if graph!=None:
            self.graph=graph
            """
            self.edges=[]
            for i in range(self.V):
                if self.weighted:
                    for j,d in self.graph[i]:
                        if self.directed or not self.directed and i<=j:
                            self.edges.append((i,j,d))
                else:
                    for j in self.graph[i]:
                        if self.directed or not self.directed and i<=j:
                            self.edges.append((i,j))
            """
        else:
            self.edges=edges
            self.graph=[[] for i in range(self.V)]
            if weighted:
                for i,j,d in self.edges:
                    self.graph[i].append((j,d))
                    if not self.directed:
                        self.graph[j].append((i,d))
            else:
                for i,j in self.edges:
                    self.graph[i].append(j)
                    if not self.directed:
                        self.graph[j].append(i)

    def Build_LCA(self,s,segment_tree=False):
        self.lca_segment_tree=segment_tree
        if self.lca_segment_tree:
            self.lca_euler_tour,self.lca_parents,depth=self.SIV_DFS(s,euler_tour=True,parents=True,unweighted_dist=True)
            self.lca_dfs_in_index=[None]*self.V
            self.lca_dfs_out_index=[None]*self.V
            for i,x in enumerate(self.lca_euler_tour):
                if x>=0:
                    self.lca_dfs_in_index[x]=i
                else:
                    self.lca_dfs_out_index[~x]=i
            self.ST=Segment_Tree(2*self.V,min,self.V)
            lst=[None]*(2*self.V)
            for i in range(2*self.V-1):
                if self.lca_euler_tour[i]>=0:
                    lst[i]=depth[self.lca_euler_tour[i]]
                else:
                    lst[i]=depth[self.lca_parents[~self.lca_euler_tour[i]]]
            lst[2*self.V-1]=-1
            self.ST.Build(lst)
        else:
            self.lca_parents,self.lca_depth=self.SIV_DFS(s,parents=True,unweighted_dist=True)
            self.lca_PD=Path_Doubling(self.V,self.lca_parents)
            self.lca_PD.Build_Next(self.V)

    def LCA(self,a,b):
        if self.lca_segment_tree:
            m=min(self.lca_dfs_in_index[a],self.lca_dfs_in_index[b])
            M=max(self.lca_dfs_in_index[a],self.lca_dfs_in_index[b])
            x=self.lca_euler_tour[self.ST.Fold_Index(m,M+1)]
            if x>=0:
                lca=x
            else:
                lca=self.lca_parents[~x]
        else:
            if self.lca_depth[a]>self.lca_depth[b]:
                a,b=b,a
            b=self.lca_PD.Doubling_Permutation(b,self.lca_depth[b]-self.lca_depth[a])
            if a!=b:
                for k in range(self.lca_PD.k-1,-1,-1):
                    if self.lca_PD.doubling_permutation[k][a]!=self.lca_PD.doubling_permutation[k][b]:
                        a,b=self.lca_PD.doubling_permutation[k][a],self.lca_PD.doubling_permutation[k][b]
                a,b=self.lca_PD.doubling_permutation[0][a],self.lca_PD.doubling_permutation[0][b]
            lca=a
        return lca

    def Build_Auxiliary_Tree(self,s):
        self.Build_LCA(s,segment_tree=True)
        self.auxiliary_tree_use=[False]*self.V

    def Auxiliary_Tree(self,points):
        points=sorted(list(set(points)),key=lambda x:self.lca_dfs_in_index[x])
        for x in points:
            self.auxiliary_tree_use[x]=True
        le=len(points)
        for i in range(le-1):
            lca=self.LCA(points[i],points[i+1])
            if not self.auxiliary_tree_use[lca]:
                points.append(lca)
                self.auxiliary_tree_use[lca]=True
        points.sort(key=lambda x:self.lca_dfs_in_index[x])
        le=len(points)
        parents=[None]*le
        stack=[]
        for i in range(le):
            while stack and self.lca_dfs_out_index[points[stack[-1]]]<self.lca_dfs_in_index[points[i]]:
                stack.pop()
            if stack:
                parents[i]=stack[-1]
            stack.append(i)
        for x in points:
            self.auxiliary_tree_use[x]=False
        return parents,points

    def SIV_DFS(self,s,bipartite_graph=False,cycle_detection=False,directed_acyclic=False,euler_tour=False,linked_components=False,lowlink=False,parents=False,postorder=False,preorder=False,subtree_size=False,topological_sort=False,unweighted_dist=False,weighted_dist=False):
        seen=[False]*self.V
        finished=[False]*self.V
        if directed_acyclic or cycle_detection or topological_sort:
            dag=True
        if euler_tour:
            et=[]
        if linked_components:
            lc=[]
        if lowlink:
            order=[None]*self.V
            ll=[None]*self.V
            idx=0
        if parents or cycle_detection or lowlink or subtree_size:
            ps=[None]*self.V
        if postorder or topological_sort:
            post=[]
        if preorder:
            pre=[]
        if subtree_size:
            ss=[1]*self.V
        if unweighted_dist or bipartite_graph:
            uwd=[self.inf]*self.V
            uwd[s]=0
        if weighted_dist:
            wd=[self.inf]*self.V
            wd[s]=0
        stack=[(s,0)] if self.weighted else [s]
        while stack:
            if self.weighted:
                x,d=stack.pop()
            else:
                x=stack.pop()
            if not seen[x]:
                seen[x]=True
                stack.append((x,d) if self.weighted else x)
                if euler_tour:
                    et.append(x)
                if linked_components:
                    lc.append(x)
                if lowlink:
                    order[x]=idx
                    ll[x]=idx
                    idx+=1
                if preorder:
                    pre.append(x)
                for y in self.graph[x]:
                    if self.weighted:
                        y,d=y
                    if not seen[y]:
                        stack.append((y,d) if self.weighted else y)
                        if parents or cycle_detection or lowlink or subtree_size:
                            ps[y]=x
                        if unweighted_dist or bipartite_graph:
                            uwd[y]=uwd[x]+1
                        if weighted_dist:
                            wd[y]=wd[x]+d
                    elif not finished[y]:
                        if (directed_acyclic or cycle_detection or topological_sort) and dag:
                            dag=False
                            if cycle_detection:
                                cd=(y,x)
            elif not finished[x]:
                finished[x]=True
                if euler_tour:
                    et.append(~x)
                if lowlink:
                    bl=True
                    for y in self.graph[x]:
                        if self.weighted:
                            y,d=y
                        if ps[x]==y and bl:
                            bl=False
                            continue
                        ll[x]=min(ll[x],order[y])
                    if x!=s:
                        ll[ps[x]]=min(ll[ps[x]],ll[x])
                if postorder or topological_sort:
                    post.append(x)
                if subtree_size:
                    for y in self.graph[x]:
                        if self.weighted:
                            y,d=y
                        if y==ps[x]:
                            continue
                        ss[x]+=ss[y]
        if bipartite_graph:
            bg=[[],[]]
            for tpl in self.edges:
                x,y=tpl[:2] if self.weighted else tpl
                if uwd[x]==self.inf or uwd[y]==self.inf:
                    continue
                if not uwd[x]%2^uwd[y]%2:
                    bg=False
                    break
            else:
                for x in range(self.V):
                    if uwd[x]==self.inf:
                        continue
                    bg[uwd[x]%2].append(x)
        retu=()
        if bipartite_graph:
            retu+=(bg,)
        if cycle_detection:
            if dag:
                cd=[]
            else:
                y,x=cd
                cd=self.Route_Restoration(y,x,ps)
            retu+=(cd,)
        if directed_acyclic:
            retu+=(dag,)
        if euler_tour:
            retu+=(et,)
        if linked_components:
            retu+=(lc,)
        if lowlink:
            retu=(ll,)
        if parents:
            retu+=(ps,)
        if postorder:
            retu+=(post,)
        if preorder:
            retu+=(pre,)
        if subtree_size:
            retu+=(ss,)
        if topological_sort:
            if dag:
                tp_sort=post[::-1]
            else:
                tp_sort=[]
            retu+=(tp_sort,)
        if unweighted_dist:
            retu+=(uwd,)
        if weighted_dist:
            retu+=(wd,)
        if len(retu)==1:
            retu=retu[0]
        return retu
from collections import defaultdict

class Segment_Tree:
    def __init__(self,N,f,e,lst=None,dynamic=False,bisect_search=True):
        self.f=f
        self.e=e
        self.N=N
        self.bisect_search=bisect_search
        if self.bisect_search:
            self.le=1
            while self.le<self.N:
                self.le*=2
        else:
            self.le=self.N
        if dynamic:
            self.segment_tree=defaultdict(lambda:self.e)
        else:
            if lst==None:
                self.segment_tree=[self.e]*2*self.le
            else:
                assert len(lst)<=self.N
                self.segment_tree=[self.e]*self.le+[x for x in lst]+[self.e]*(self.le-len(lst))
                for i in range(self.le-1,0,-1):
                    self.segment_tree[i]=self.f(self.segment_tree[i<<1],self.segment_tree[i<<1|1])

    def __getitem__(self,i):
        if type(i)==int:
            if -self.le<=i<0:
                return self.segment_tree[i+self.le*2]
            elif 0<=i<self.le:
                return self.segment_tree[i+self.le]
            else:
                raise IndexError("list index out of range")
        else:
            a,b,c=i.start,i.stop,i.step
            if a==None:
                a=self.le
            else:
                a+=self.le
            if b==None:
                b=self.le*2
            else:
                b+=self.le
            return self.segment_tree[slice(a,b,c)]

    def __setitem__(self,i,x):
        if -self.le<=i<0:
            i+=self.le*2
        elif 0<=i<self.le:
            i+=self.le
        else:
            raise IndexError("list index out of range")
        self.segment_tree[i]=x
        while i>1:
            i>>= 1
            self.segment_tree[i]=self.f(self.segment_tree[i<<1],self.segment_tree[i<<1|1])

    def Build(self,lst):
        for i,x in enumerate(lst,self.le):
            self.segment_tree[i]=x
        for i in range(self.le-1,0,-1):
            self.segment_tree[i]=self.f(self.segment_tree[i<<1],self.segment_tree[i<<1|1])

    def Fold(self,L=None,R=None):
        if L==None:
            L=self.le
        else:
            assert 0<=L<=self.N
            L+=self.le
        if R==None:
            R=self.le*2
        else:
            assert 0<=R<=self.N
            R+=self.le
        vL=self.e
        vR=self.e
        while L<R:
            if L&1:
                vL=self.f(vL,self.segment_tree[L])
                L+=1
            if R&1:
                R-=1
                vR=self.f(self.segment_tree[R],vR)
            L>>=1
            R>>=1
        return self.f(vL,vR)

    def Fold_Index(self,L=None,R=None):
        if L==None:
            L=self.le
        else:
            assert 0<=L<=self.N
            L+=self.le
        if R==None:
            R=self.le*2
        else:
            assert 0<=R<=self.N
            R+=self.le
        if L==R:
            return None
        x=self.Fold(L-self.le,R-self.le)
        while L<R:
            if L&1:
                if self.segment_tree[L]==x:
                    i=L
                    break
                L+=1
            if R&1:
                R-=1
                if self.segment_tree[R]==x:
                    i=R
                    break
            L>>=1
            R>>=1
        while i<self.le:
            if self.segment_tree[i]==self.segment_tree[i<<1]:
                i<<=1
            else:
                i<<=1
                i|=1
        i-=self.le
        return i

    def Bisect_Right(self,L=None,f=None):
        assert self.bisect_search
        if L==self.le:
            return self.le
        if L==None:
            L=0
        assert 0<=L<=self.N
        L+=self.le
        vl=self.e
        vr=self.e
        l,r=L,self.le*2
        while l<r:
            if l&1:
                vl=self.f(vl,self.segment_tree[l])
                l+=1
            if r&1:
                r-=1
                vr=self.f(self.segment_tree[r],vr)
            l>>=1
            r>>=1
        if f(self.f(vl,vr)):
            return self.N
        v=self.e
        while True:
            while L%2==0:
                L>>=1
            vv=self.f(v,self.segment_tree[L])
            if f(vv):
                v=vv
                L+=1
            else:
                while L<self.le:
                    L<<=1
                    vv=self.f(v,self.segment_tree[L])
                    if f(vv):
                        v=vv
                        L+=1
                return L-self.le

    def Bisect_Left(self,R=None,f=None):
        assert self.bisect_search
        if R==0:
            return 0
        if R==None:
            R=self.le
        assert 0<=R<=self.N
        R+=self.le
        vl=self.e
        vr=self.e
        l,r=self.le,R
        while l<r:
            if l&1:
                vl=self.f(vl,self.segment_tree[l])
                l+=1
            if r&1:
                r-=1
                vr=self.f(self.segment_tree[r],vr)
            l>>=1
            r>>=1
        if f(self.f(vl,vr)):
            return 0
        v=self.e
        while True:
            R-=1
            while R>1 and R%2:
                R>>=1
            vv=self.f(self.segment_tree[R],v)
            if f(vv):
                v=vv
            else:
                while R<self.le:
                    R=2*R+1
                    vv=self.f(self.segment_tree[R],v)
                    if f(vv):
                        v=vv
                        R-=1
                return R+1-self.le

    def __str__(self):
        return "["+", ".join(map(str,[self.segment_tree[i] for i in range(self.le,self.le+self.N)]))+"]"

    def __repr__(self):
        return "Segment_Tree("+str(self)+")"
class Sparse_Table:
    def __init__(self,N,f,e,lst):
        self.N=N
        self.f=f
        self.e=e
        self.n=N.bit_length()
        self.dp=[[None]*(self.N-(1<<n)+1) for n in range(self.n)]
        if self.n:
            for i in range(self.N):
                self.dp[0][i]=lst[i]
            for n in range(1,self.n):
                for i in range(self.N-(1<<n)+1):
                    self.dp[n][i]=self.f(self.dp[n-1][i],self.dp[n-1][i+(1<<n-1)])

    def Fold(self,L=None,R=None):
        if L==None:
            L=0
        if R==None:
            R=self.N
        if L==R:
            return self.e
        n=(R-L).bit_length()-1
        return self.f(self.dp[n][L],self.dp[n][R-(1<<n)])

T=int(input())
for t in range(T):
    N=int(input())
    A=list(map(int,input().split()))
    inf=1<<30
    ST=Sparse_Table(N,min,inf,A)
    graph=[[] for x in range(N)]
    for m in range(N-1):
        u,v=map(int,input().split())
        u-=1;v-=1
        graph[u].append(v)
        graph[v].append(u)
    G=Graph(N,graph=graph)
    G.Build_Auxiliary_Tree(0)
    depth=G.SIV_DFS(0,unweighted_dist=True)
    ans=0
    idx=[[0] for d in range(N)]
    for x in range(N):
        idx[depth[x]].append(x)
    for d in range(N):
        parents,P=G.Auxiliary_Tree(idx[d])
        le=len(parents)
        cnt=[0]*le
        for p in parents:
            if p!=None:
                cnt[p]+=1
        queue=[x for x in range(le) if cnt[x]==0]
        dp=[0]*le
        while queue:
            x=queue.pop()
            if depth[P[x]]==d:
                dp[x]=A[0]
            dp[x]=min(dp[x],ST.Fold(d-depth[P[x]],d+1))
            if parents[x]!=None:
                dp[parents[x]]+=dp[x]
                cnt[parents[x]]-=1
                if cnt[parents[x]]==0:
                    queue.append(parents[x])
        if le:
            ans+=dp[parents.index(None)]
    print(ans)