the python challenge闯关记录

def trans_str(s):
    inword = ‘abcdefghijklmnopqrstuvwxyz‘
    outword = ‘cdefghijklmnopqrstuvwxyzab‘
    transtab = str.maketrans(inword, outword)
    new_str = s.translate(transtab)
    return new_str

if __name__ == ‘__main__‘:
    s = "g fmnc wms bgblr rpylqjyrc gr zw fylb. rfyrq ufyr amknsrcpq ypc dmp. bmgle gr gl zw fylb gq glcddgagclr ylb rfyr‘q ufw "     "rfgq rcvr gq qm jmle. sqgle qrpgle.kyicrpylq() gq pcamkkclbcb. lmu ynnjw ml rfc spj"
    print(trans_str(s))
    s1 = ‘map‘
    print(trans_str(s1))

i hope you didnt translate it by hand. thats what computers are for. doing it in by hand is inefficient and that‘s why this text is so long. using string.maketrans() is recommended. now apply on the url
ocr

new_list = []
for i in s:
    if i not in new_list:
        new_list.append(i)
new_dict = {}
for j in new_list:
    new_dict[j] = s.count(j)
print(new_dict)

{‘%‘: 6104, ‘$‘: 6046, ‘@‘: 6157, ‘_‘: 6112, ‘^‘: 6030, ‘#‘: 6115, ‘)‘: 6186, ‘&‘: 6043, ‘!‘: 6079, ‘+‘: 6066, ‘]‘: 6152, ‘*‘: 6034, ‘}‘: 6105, ‘[‘: 6108, ‘(‘: 6154, ‘{‘: 6046, ‘\n‘: 1219, ‘e‘: 1, ‘q‘: 1, ‘u‘: 1, ‘a‘: 1, ‘l‘: 1, ‘i‘: 1, ‘t‘: 1, ‘y‘: 1}