Shubham has a binary string s. A binary string is a string containing only characters "0" and "1".

He can perform the following operation on the string any amount of times: 

  * Select an index of the string, and flip the character at that index. This means, if the character was "0", it becomes "1", and vice versa. 



A string is called good if it does not contain "010" or "101" as a subsequence — for instance, "1001" contains "101" as a subsequence, hence it is not a good string, while "1000" doesn't contain neither "010" nor "101" as subsequences, so it is a good string.

What is the minimum number of operations he will have to perform, so that the string becomes good? It can be shown that with these operations we can make any string good.

A string a is a subsequence of a string b if a can be obtained from b by deletion of several (possibly, zero or all) characters.

Input

The first line of the input contains a single integer t (1≤ t ≤ 100) — the number of test cases.

Each of the next t lines contains a binary string s (1 ≤ |s| ≤ 1000).

Output

For every string, output the minimum number of operations required to make it good.

Example

Input


7
001
100
101
010
0
1
001100


Output


0
0
1
1
0
0
2

Note

In test cases 1, 2, 5, 6 no operations are required since they are already good strings.

For the 3rd test case: "001" can be achieved by flipping the first character — and is one of the possible ways to get a good string.

For the 4th test case: "000" can be achieved by flipping the second character — and is one of the possible ways to get a good string.

For the 7th test case: "000000" can be achieved by flipping the third and fourth characters — and is one of the possible ways to get a good string.
#qn given an arr of size n for every  i position find a min j such that j>i and arr[j]>arr[i]
#it prints the position of the nearest .
import sys
input = sys.stdin.readline
 #qn given an arr of size n for every  i position find a min j such that j>i and arr[j]>arr[i]
#it prints the position of the nearest .
# import sys
import heapq 
import copy
import math
import decimal
# from decimal import *
#heapq.heapify(li) 
#
#heapq.heappush(li,4) 
#
#heapq.heappop(li)
#
# &	Bitwise AND Operator	10 & 7 = 2
# |	Bitwise OR Operator	10 | 7 = 15
# ^	Bitwise XOR Operator	10 ^ 7 = 13
 
# <<	Bitwise Left Shift operator	10<<2 = 40
# >>	Bitwise Right Shift Operator
# '''############ ---- Input Functions ---- #######Start#####'''

 
class Node:
    def _init_(self,val):
        self.data = val
        self.left = None
        self.right = None
##to initialize wire : object_name= node(val)##to create a new node
## can also be used to create linked list
class fen_tree:
    """Implementation of a Binary Indexed Tree (Fennwick Tree)"""
    
    #def __init__(self, list):
    #    """Initialize BIT with list in O(n*log(n))"""
    #    self.array = [0] * (len(list) + 1)
    #    for idx, val in enumerate(list):
    #        self.update(idx, val)
 
    def __init__(self, list):
        """"Initialize BIT with list in O(n)"""
        self.array = [0] + list
        for idx in range(1, len(self.array)):
            idx2 = idx + (idx & -idx)
            if idx2 < len(self.array):
                self.array[idx2] += self.array[idx]
 
    def prefix_query(self, idx):
        """Computes prefix sum of up to including the idx-th element"""
        # idx += 1
        result = 0
        while idx:
            result += self.array[idx]
            idx -= idx & -idx
        return result
    def prints(self):
        print(self.array)
        return
        # for i in self.array:
        #     print(i,end = " ")
        # return 
    def range_query(self, from_idx, to_idx):
        """Computes the range sum between two indices (both inclusive)"""
        return self.prefix_query(to_idx) - self.prefix_query(from_idx - 1)
 
    def update(self, idx, add):
        """Add a value to the idx-th element"""
        # idx += 1
        while idx < len(self.array):
            self.array[idx] += add
            idx += idx & -idx
 
 
def pre_sum(arr):
	#"""returns the prefix sum inclusive ie ith position in ans  represent sum from 0 to ith position"""
	p = [0]
	for i in arr:
		p.append(p[-1] + i)
	p.pop(0)
	return p
 
def pre_back(arr):
	#"""returns the prefix sum inclusive ie ith position in ans  represent sum from 0 to ith position"""
	p = [0]
	for i in arr:
		p.append(p[-1] + i)
	p.pop(0)
	return p
def bin_search(arr,l,r,val):#strickly greater
	if arr[r] <= val:
		return r+1	
	if r-l < 2:
		if arr[l]>val:
			return l
		else:
			return r
	mid = int((l+r)/2)
	if arr[mid] <= val:
		return bin_search(arr,mid,r,val)
	else:
		return bin_search(arr,l,mid,val)
def search_leftmost(arr,val):
	def helper(arr,l,r,val):
		# print(arr)
		print(l,r)
		if arr[l] == val:
			return l
		if r -l <=1:
			if arr[r] == val:
				return r
			else:
				print("not found")
				return
		mid = int((r+l)/2)
		if arr[mid] >= val:
			return helper(arr,l,mid,val)
		else:
			return helper(arr,mid,r,val)
	return helper(arr,0,len(arr)-1,val)
def search_rightmost(arr,val):
	def helper(arr,l,r,val):
		# print(arr)
		print(l,r)
		if arr[r] == val:
			return r
		if r -l <=1:
			if arr[l] == val:
				return r
			else:
				print("not found")
				return
		mid = int((r+l)/2)
		if arr[mid] > val:
			return helper(arr,l,mid,val)
		else:
			return helper(arr,mid,r,val)
	return helper(arr,0,len(arr)-1,val)
def preorder_postorder(root,paths,parent,left,level):
	# if len(paths[node]) ==1 and node !=1 :
	# 	return [parent,left,level]
	l = 0
	queue = [root]
	while(queue!=[]):
		node = queue[-1]
		# print(queue,node)
		flag = 0
		for i in paths[node]:
			if i!=parent[node] and level[i]== sys.maxsize:
				parent[i] = node
				level[i] = level[node]+1
				flag = 1
				queue.append(i)
		if flag == 0:
			left[parent[node]] +=(1+left[node])
			queue.pop()
	# 		[parent,left,level] = helper(i,paths,parent,left,level)
	# 		l = left[i] + l +1
	# left[node] = l
	return [parent,left,level]
def nCr(n, r, p): 
    # initialize numerator 
    # and denominator 
	if r == 0:
		return 1
	num = den = 1 
	for i in range(r): 
		num = (num * (n - i)) % p 
		den = (den * (i + 1)) % p 
	return (num * pow(den,p - 2, p)) % p 
def inp():
	return(int(input()))
def inlt(): 
	return(list(map(int,input().split())))
def insr():
	s = input()
	return(list(s[:len(s) - 1]))
def invr():
	return(map(int,input().split()))
 ############ ---- Input Functions ---- #######End
 # #####   
def pr_list(a):
	print(*a, sep=" ")
def main():
	tests =  inp()
	# tests = 1
	mod = 1000000007
 
	limit = 10**18
	for test in range(tests):
		s = insr()
		r = [0]
		l= [0]
		n = len(s)
		for i in s:
			if i == "0":
				l.append(l[-1])
			else:
				l.append(l[-1]+1)
		l.pop()
		for i in range(n-1,-1,-1):
			if s[i] == "0":
				r.append(r[-1])
			else:
				r.append(r[-1]+1)
		r.pop()
		r.reverse()
		# print(l,r)
		ans = min(l[-1]+int(s[-1]), n - (l[-1]+int(s[-1])))
		for i in range(0,n):
			if i>0 or i < n-1:
				l0 = l[i]
				r1 = n-i-1 - r[i]
				l1 = i-l[i]
				r0 = r[i]
				ans = min (ans,l0+r1,l1+r0)
			elif i == 0:
				ans = min (ans,r[0],n-r[0]-1)
			else:
				ans = min (ans,l[0],n-l[0]-1)
		print(ans)


			
			 
			




if __name__== "__main__":
	main()