description: A binary string is a string that consists of characters 0 and 1.
  
  Let \operatorname{MEX} of a binary string be the smallest digit among 0, 1, or 2 that does not occur in the string. For example, \operatorname{MEX} of 001011 is 2, because 0 and 1 occur in the string at least once, \operatorname{MEX} of 1111 is 0, because 0 and 2 do not occur in the string and 0 < 2.
  
  A binary string s is given. You should cut it into any number of substrings such that each character is in exactly one substring. It is possible to cut the string into a single substring — the whole string.
  
  A string a is a substring of a string b if a can be obtained from b by deletion of several (possibly, zero or all) characters from the beginning and several (possibly, zero or all) characters from the end.
  
  What is the minimal sum of \operatorname{MEX} of all substrings pieces can be?
  
  Input
  
  The input consists of multiple test cases. The first line contains a single integer t (1 ≤ t ≤ 10^4) — the number of test cases. Description of the test cases follows.
  
  Each test case contains a single binary string s (1 ≤ |s| ≤ 10^5).
  
  It's guaranteed that the sum of lengths of s over all test cases does not exceed 10^5.
  
  Output
  
  For each test case print a single integer — the minimal sum of \operatorname{MEX} of all substrings that it is possible to get by cutting s optimally.
  
  Example
  
  Input
  
  
  6
  01
  1111
  01100
  101
  0000
  01010
  
  
  Output
  
  
  1
  0
  2
  1
  1
  2
  
  Note
  
  In the first test case the minimal sum is \operatorname{MEX}(0) + \operatorname{MEX}(1) = 1 + 0 = 1.
  
  In the second test case the minimal sum is \operatorname{MEX}(1111) = 0.
  
  In the third test case the minimal sum is \operatorname{MEX}(01100) = 2.
solution: 
  
  
  import java.io.BufferedReader;
  import java.io.IOException;
  import java.io.InputStreamReader;
  import java.io.PrintWriter;
  import java.util.Arrays;
  import java.util.StringTokenizer;
  import java.util.*;
  
  public class MINMEXCUT {
  	
  	public static void main(String[] args) {
  
  		FastScanner f = new FastScanner();
  		PrintWriter p = new PrintWriter(System.out);
  		int t = f.nextInt();
  		while (t-- > 0) {
  			char c[]=f.next().toCharArray();
  			int res[]= {1,0};
  			int arr[]=new int[c.length];
  			for(int i=0;i<c.length;i++) {
  				if(c[i]=='1') {
  					arr[i]=1;
  				}else {
  					arr[i]=0;
  				}
  			}
  			
  			int ans=0;
  			int nz=0;
  			int cz=0;
  			for(int i=0;i<arr.length;i++) {
  				if(arr[i]==0) {
  					nz++;
  				}else {
  					if(nz>0) {
  						cz++;
  						nz=0;
  					}
  				}
  			}
  			
  			if(nz>0) {
  				cz++;
  			}
  			
  			if(cz==0) {
  				ans=0;
  			}else if(cz==1) {
  				ans=1;
  			}else {
  				ans=2;
  			}
  			
  			p.println(ans);
  		}
  		p.close();
  
  	}
  	
  	
  	
  //-----------------------------------------------------------------------------------------------------------------------------------------------------------------
  	
  	
  
  	static class FastScanner {
  		BufferedReader br;
  		StringTokenizer st;
  
  		public FastScanner() {
  			br = new BufferedReader(new InputStreamReader(System.in));
  		}
  
  		String next() {
  			while (st == null || !st.hasMoreElements()) {
  				try {
  					st = new StringTokenizer(br.readLine());
  				} catch (IOException e) {
  					e.printStackTrace();
  				}
  			}
  			return st.nextToken();
  		}
  
  		int nextInt() {
  			return Integer.parseInt(next());
  		}
  
  		long nextLong() {
  			return Long.parseLong(next());
  		}
  
  		double nextDouble() {
  			return Double.parseDouble(next());
  		}
  
  		String nextLine() {
  			String str = "";
  			try {
  				str = br.readLine();
  			} catch (IOException e) {
  				e.printStackTrace();
  			}
  			return str;
  		}
  	}
  
  	
  
  	// will work till array size of 65537---fastest sorting time
  //	static long[] radixSort(long[] f) {
  //		return radixSort(f, f.length);
  //	}
  //
  //	static long[] radixSort(long[] f, int n) {
  //		long[] to = new long[n];
  //		{
  //			int[] b = new int[65537];
  //			for (int i = 0; i < n; i++)
  //				b[1 + (int) (f[i] & 0xffff)]++;
  //			for (int i = 1; i <= 65536; i++)
  //				b[i] += b[i - 1];
  //			for (int i = 0; i < n; i++)
  //				to[b[(int) (f[i] & 0xffff)]++] = f[i];
  //			long[] d = f;
  //			f = to;
  //			to = d;
  //		}
  //		{
  //			int[] b = new int[65537];
  //			for (int i = 0; i < n; i++)
  //				b[1 + (int) (f[i] >>> 16 & 0xffff)]++;
  //			for (int i = 1; i <= 65536; i++)
  //				b[i] += b[i - 1];
  //			for (int i = 0; i < n; i++)
  //				to[b[(int) (f[i] >>> 16 & 0xffff)]++] = f[i];
  //			long[] d = f;
  //			f = to;
  //			to = d;
  //		}
  //		{
  //			int[] b = new int[65537];
  //			for (int i = 0; i < n; i++)
  //				b[1 + (int) (f[i] >>> 32 & 0xffff)]++;
  //			for (int i = 1; i <= 65536; i++)
  //				b[i] += b[i - 1];
  //			for (int i = 0; i < n; i++)
  //				to[b[(int) (f[i] >>> 32 & 0xffff)]++] = f[i];
  //			long[] d = f;
  //			f = to;
  //			to = d;
  //		}
  //		{
  //			int[] b = new int[65537];
  //			for (int i = 0; i < n; i++)
  //				b[1 + (int) (f[i] >>> 48 & 0xffff)]++;
  //			for (int i = 1; i <= 65536; i++)
  //				b[i] += b[i - 1];
  //			for (int i = 0; i < n; i++)
  //				to[b[(int) (f[i] >>> 48 & 0xffff)]++] = f[i];
  //			long[] d = f;
  //			f = to;
  //			to = d;
  //		}
  //		return f;
  //	}
  
  	// Function to sort an array using quick sort algorithm.
  	static void quickSort(long arr[], int low, int high) {
  		if (low < high) {
  			int p = partition(arr, low, high);
  			quickSort(arr, low, p - 1);
  			quickSort(arr, p + 1, high);
  		}
  	}
  
  	static int partition(long arr[], int low, int high) {
  		long pivot = arr[high];
  		int i = low - 1;
  		for (int j = low; j < high; j++) {
  			if (arr[j] < pivot) {
  				i++;
  				long temp = arr[i];
  				arr[i] = arr[j];
  				arr[j] = temp;
  			}
  		}
  		long temp = arr[i + 1];
  		arr[i + 1] = arr[high];
  		arr[high] = temp;
  
  		return i + 1;
  	}
  
  	/// Ceils
  	static long ceil(long x, long m) {
  		long res = x / m;
  		if (x % m != 0) {
  			res++;
  		}
  		return res;
  	}
  
  	// ------------------------------------------------------------------------------------------------
  	// makes the prefix sum array
  	static long[] prefixSum(long arr[], int n) {
  		long psum[] = new long[n];
  		psum[0] = arr[0];
  		for (int i = 1; i < n; i++) {
  			psum[i] = psum[i - 1] + arr[i];
  		}
  		return psum;
  	}
  	// ------------------------------------------------------------------------------------------------
  
  	// makes the suffix sum array
  	static long[] suffixSum(long arr[], int n) {
  		long ssum[] = new long[n];
  		ssum[n - 1] = arr[n - 1];
  		for (int i = n - 2; i >= 0; i--) {
  			ssum[i] = ssum[i + 1] + arr[i];
  		}
  		return ssum;
  	}
  
  //------------------------------------------------------------------------------------------
  	// BINARY EXPONENTIATION OF A NUMBER MODULO M FASTER METHOD WITHOUT RECURSIVE
  	// OVERHEADS
  //	static long m = (long) (1e9 + 7);
  
  	static long binPower(long a, long n, long m) {
  		if (n == 0)
  			return 1;
  		long res = 1;
  		while (n > 0) {
  			if ((n & 1) != 0) {
  				res *= a;
  			}
  			a *= a;
  			n >>= 1;
  		}
  		return res;
  	}
  
  //-------------------------------------------------------------------------------------------
  
  	// gcd
  	static long gcd(long a, long b) {
  		return b == 0 ? a : gcd(b, a % b);
  	}
  
  //------------------------------------------------------------------------------------------
  
  	// lcm
  	static long lcm(long a, long b) {
  		return a / gcd(a, b) * b;
  	}
  
  //------------------------------------------------------------------------------------------
  	// BRIAN KERNINGHAM TO CHECK NUMBER OF SET BITS
  	// O(LOGn)
  	static int setBits(int n) {
  		int count = 0;
  		while (n > 0) {
  			n = n & (n - 1);
  			count++;
  		}
  		return count;
  	}
  //------------------------------------------------------------------------------------------
  
  //------------------------------------------------------------------------------------------
  	// 0 based indexing
  	static boolean KthBitSet(int n, int k) {
  		int mask = 1;
  		mask = mask <<= k;
  		if ((mask & n) != 0)
  			return true;
  		else
  			return false;
  	}
  
  //------------------------------------------------------------------------------------------
  
  	// EXTENDED EUCLIDEAN THEOREM
  	// TO REPRESENT GCD IN TERMS OF A AND B
  	// gcd(a,b) = a.x + b.y where x and y are integers
  
  	static long x = -1;
  	static long y = -1;
  
  	static long gcdxy(long a, long b) {
  		if (b == 0) {
  			x = 1;
  			y = 0;
  			return a;
  		} else {
  			long d = gcdxy(b, a % b);
  			long x1 = y;
  			long y1 = x - (a / b) * y;
  			x = x1;
  			y = y1;
  
  			return d;
  		}
  	}
  
  //-------------------------------------------------------------------------------------------------F
  }
  