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def rotate(n, i):
	j = 0
	s = str(n)
	while(j < i):
		s = s[-1] + s[:-1]
		j += 1
	return int(s)
	
def rn(n, m):
	count = 0

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def gen_trip(n, p):
	flag = False
	trips = []
	for i in range(0,11):
		for j in range(0, 11):
			for k in range(0, 11):
				if i + j + k == n:
					if(max([i,j,k]) - min([i,j,k]) <= 2 and max([i,j,k]) >= p):
						trips.append([i, j, k])
						if(max([i,j,k]) - min([i,j,k]) <= 1):

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d = {}
s1 = "yeqz ejp mysljylc kd kxveddknmc re jsicpdrysi rbcpc ypc rtcsra dkh wyfrepkym veddknkmkrkcd de kr kd eoya kw aej tysr re ujdr lkgc jv"
s2 = "aozq our language is impossible to understand there are twenty six factorial possibilities so it is okay if you want to just give up"
for ch in range(len(s1)):
	d[s1[ch]] = s2[ch]
f = open("A.in")
t = int(f.readline().strip())
for i in range(1,t+1):
	print "Case #"+ str(i) + ": " + ''.join([(d[ch] if ch in d else ch) for ch in f.readline()]),

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# Univariate Batch Gradient Descent - Linear Regression
# Derived from Andrew Ng's Lectures on Machine Learning (Lecture 2)
# Ameer Ayoub <ameer.ayoub@gmail.com> 2/16/2012

import math
import matplotlib.pyplot as plt

def pd_sqr_err0(theta0, theta1, x, y):
	m = len(x)
	return sum([(1.0/m)*((theta0 + theta1 * x[i]) - y[i]) for i in range(m)])

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from PIL import Image
import math, os, sys

def calculate_seam(im, band_width, middle_bias = True, middle_bias_strength = 2):
	pix = im.load()
	size = im.size
	max_std_dev = 0
	max_col = 1
	for i in range(band_width, im.size[0]-band_width+1):
		multiplier = (1-(4*math.sqrt((i-im.size[0]/2)**2)/im.size[0]/2))**middle_bias_strength

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name = re.compile("""
('.+')?\s*			# nickname (optional, group 1)
(([^,']*),)?\s*			# last name (optional, group 3)
([^\(]+)			# first name (required, group 4)
(\((\w+)\))?			# actor number (optional, group 6)
""", re.VERBOSE)
acted_in = re.compile("""
"?([^"]*?)"?\s			# title (required, group 1) surrounded by quotations if it's a tv show
\(((\d+)/?(\w+)?).*?\)	# the year (required, group 3), followed by `/ROMAN_NUMERAL` 
				# (optional, group 4) if multiple in same year

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from sys import argv
import re

def header_def_name(camelcase):
	word = ""
	for ch in camelcase:
		if ch.isupper() and len(word) > 0:
			word += "_"
		word += ch
	return word.upper()

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/*
 * Copyright 2011 Ameer Ayoub
 *
 * Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except
 * in compliance with the License.  You may obtain a copy of the License at
 *
 *	   http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software distributed under the License
 * is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express

ameerkat

/* Fibonacci Calculation using Matrices
 * Ameer Ayoub <ameer.ayoub@gmail.com>
 * Jun 13, 2011
 */
#include <iostream>
#include <math.h>
using namespace std;

const int fib_matrix_size = 2;

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# Python HTML Linker
# Ameer Ayoub <ameer.ayoub@gmail.com>
from sys import argv
import re

def print_usage(script_name):
	print "usage:", script_name, "target_file template_file source_file0 (source_file1, source_file2, ...)"

if __name__ == "__main__":
	script_name = argv[0]