为什么你要做一个while True，然后跳出这个循环，而你也可以把你的要求放在while语句中因为你想要的是一旦你有了年龄就停止?

age = None
while age is None:
    input_value = input("Please enter your age: ")
    try:
        # try and convert the string input to a number
        age = int(input_value)
    except ValueError:
        # tell the user off
        print("{input} is not a number, please enter a number only".format(input=input_value))
if age >= 18:
    print("You are able to vote in the United States!")
else:
    print("You are not able to vote in the United States.")

这将导致以下结果:

Please enter your age: *potato*
potato is not a number, please enter a number only
Please enter your age: *5*
You are not able to vote in the United States.

这是可行的，因为年龄永远不会有一个没有意义的值，代码遵循“业务流程”的逻辑。

所以，我最近在搞一些类似的事情，我想出了下面的解决方案，它使用一种方法来获取输入，拒绝垃圾，甚至在它以任何逻辑方式检查之前。

Read_single_keypress()礼貌https://stackoverflow.com/a/6599441/4532996

def read_single_keypress() -> str:
    """Waits for a single keypress on stdin.
    -- from :: https://stackoverflow.com/a/6599441/4532996
    """

    import termios, fcntl, sys, os
    fd = sys.stdin.fileno()
    # save old state
    flags_save = fcntl.fcntl(fd, fcntl.F_GETFL)
    attrs_save = termios.tcgetattr(fd)
    # make raw - the way to do this comes from the termios(3) man page.
    attrs = list(attrs_save) # copy the stored version to update
    # iflag
    attrs[0] &= ~(termios.IGNBRK | termios.BRKINT | termios.PARMRK
                  | termios.ISTRIP | termios.INLCR | termios. IGNCR
                  | termios.ICRNL | termios.IXON )
    # oflag
    attrs[1] &= ~termios.OPOST
    # cflag
    attrs[2] &= ~(termios.CSIZE | termios. PARENB)
    attrs[2] |= termios.CS8
    # lflag
    attrs[3] &= ~(termios.ECHONL | termios.ECHO | termios.ICANON
                  | termios.ISIG | termios.IEXTEN)
    termios.tcsetattr(fd, termios.TCSANOW, attrs)
    # turn off non-blocking
    fcntl.fcntl(fd, fcntl.F_SETFL, flags_save & ~os.O_NONBLOCK)
    # read a single keystroke
    try:
        ret = sys.stdin.read(1) # returns a single character
    except KeyboardInterrupt:
        ret = 0
    finally:
        # restore old state
        termios.tcsetattr(fd, termios.TCSAFLUSH, attrs_save)
        fcntl.fcntl(fd, fcntl.F_SETFL, flags_save)
    return ret

def until_not_multi(chars) -> str:
    """read stdin until !(chars)"""
    import sys
    chars = list(chars)
    y = ""
    sys.stdout.flush()
    while True:
        i = read_single_keypress()
        _ = sys.stdout.write(i)
        sys.stdout.flush()
        if i not in chars:
            break
        y += i
    return y

def _can_you_vote() -> str:
    """a practical example:
    test if a user can vote based purely on keypresses"""
    print("can you vote? age : ", end="")
    x = int("0" + until_not_multi("0123456789"))
    if not x:
        print("\nsorry, age can only consist of digits.")
        return
    print("your age is", x, "\nYou can vote!" if x >= 18 else "Sorry! you can't vote")

_can_you_vote()

您可以在这里找到完整的模块。

例子:

$ ./input_constrain.py
can you vote? age : a
sorry, age can only consist of digits.
$ ./input_constrain.py 
can you vote? age : 23<RETURN>
your age is 23
You can vote!
$ _

注意，这个实现的本质是，一旦读取非数字的内容，它就会关闭stdin。我没有在a后面按回车键，但我需要在数字后面按。

您可以将此与同一模块中的thismany()函数合并，以只允许(比如说)三位数字。

下面的代码可能会有所帮助。

age=(lambda i,f: f(i,f))(input("Please enter your age: "),lambda i,f: i if i.isdigit() else f(input("Please enter your age: "),f))
print("You are able to vote in the united states" if int(age)>=18 else "You are not able to vote in the united states",end='')

如果你想要最大尝试次数，比如3次，请使用下面的代码

age=(lambda i,n,f: f(i,n,f))(input("Please enter your age: "),1,lambda i,n,f: i if i.isdigit() else (None if n==3 else f(input("Please enter your age: "),n+1,f)))
print("You are able to vote in the united states" if age and int(age)>=18 else "You are not able to vote in the united states",end='')

注意:这里使用递归。

您可以编写更通用的逻辑，以允许用户只输入特定次数，因为在许多实际应用程序中都会出现相同的用例。

def getValidInt(iMaxAttemps = None):
  iCount = 0
  while True:
    # exit when maximum attempt limit has expired
    if iCount != None and iCount > iMaxAttemps:
       return 0     # return as default value

    i = raw_input("Enter no")
    try:
       i = int(i)
    except ValueError as e:
       print "Enter valid int value"
    else:
       break

    return i

age = getValidInt()
# do whatever you want to do.

为什么你要做一个while True，然后跳出这个循环，而你也可以把你的要求放在while语句中因为你想要的是一旦你有了年龄就停止?

age = None
while age is None:
    input_value = input("Please enter your age: ")
    try:
        # try and convert the string input to a number
        age = int(input_value)
    except ValueError:
        # tell the user off
        print("{input} is not a number, please enter a number only".format(input=input_value))
if age >= 18:
    print("You are able to vote in the United States!")
else:
    print("You are not able to vote in the United States.")

这将导致以下结果:

Please enter your age: *potato*
potato is not a number, please enter a number only
Please enter your age: *5*
You are not able to vote in the United States.

这是可行的，因为年龄永远不会有一个没有意义的值，代码遵循“业务流程”的逻辑。

函数方法或“看，妈妈，没有循环!”：

from itertools import chain, repeat

prompts = chain(["Enter a number: "], repeat("Not a number! Try again: "))
replies = map(input, prompts)
valid_response = next(filter(str.isdigit, replies))
print(valid_response)

Enter a number:  a
Not a number! Try again:  b
Not a number! Try again:  1
1

或者如果你想有一个“错误输入”的消息从输入提示符中分离出来，就像在其他答案中:

prompt_msg = "Enter a number: "
bad_input_msg = "Sorry, I didn't understand that."
prompts = chain([prompt_msg], repeat('\n'.join([bad_input_msg, prompt_msg])))
replies = map(input, prompts)
valid_response = next(filter(str.isdigit, replies))
print(valid_response)

Enter a number:  a
Sorry, I didn't understand that.
Enter a number:  b
Sorry, I didn't understand that.
Enter a number:  1
1

它是如何工作的?

prompts = chain(["Enter a number: "], repeat("Not a number! Try again: ")) This combination of itertools.chain and itertools.repeat will create an iterator which will yield strings "Enter a number: " once, and "Not a number! Try again: " an infinite number of times: for prompt in prompts: print(prompt) Enter a number: Not a number! Try again: Not a number! Try again: Not a number! Try again: # ... and so on replies = map(input, prompts) - here map will apply all the prompts strings from the previous step to the input function. E.g.: for reply in replies: print(reply) Enter a number: a a Not a number! Try again: 1 1 Not a number! Try again: it doesn't care now it doesn't care now # and so on... We use filter and str.isdigit to filter out those strings that contain only digits: only_digits = filter(str.isdigit, replies) for reply in only_digits: print(reply) Enter a number: a Not a number! Try again: 1 1 Not a number! Try again: 2 2 Not a number! Try again: b Not a number! Try again: # and so on... And to get only the first digits-only string we use next.

其他验证规则:

String methods: Of course you can use other string methods like str.isalpha to get only alphabetic strings, or str.isupper to get only uppercase. See docs for the full list. Membership testing: There are several different ways to perform it. One of them is by using __contains__ method: from itertools import chain, repeat fruits = {'apple', 'orange', 'peach'} prompts = chain(["Enter a fruit: "], repeat("I don't know this one! Try again: ")) replies = map(input, prompts) valid_response = next(filter(fruits.__contains__, replies)) print(valid_response) Enter a fruit: 1 I don't know this one! Try again: foo I don't know this one! Try again: apple apple Numbers comparison: There are useful comparison methods which we can use here. For example, for __lt__ (<): from itertools import chain, repeat prompts = chain(["Enter a positive number:"], repeat("I need a positive number! Try again:")) replies = map(input, prompts) numeric_strings = filter(str.isnumeric, replies) numbers = map(float, numeric_strings) is_positive = (0.).__lt__ valid_response = next(filter(is_positive, numbers)) print(valid_response) Enter a positive number: a I need a positive number! Try again: -5 I need a positive number! Try again: 0 I need a positive number! Try again: 5 5.0 Or, if you don't like using dunder methods (dunder = double-underscore), you can always define your own function, or use the ones from the operator module. Path existance: Here one can use pathlib library and its Path.exists method: from itertools import chain, repeat from pathlib import Path prompts = chain(["Enter a path: "], repeat("This path doesn't exist! Try again: ")) replies = map(input, prompts) paths = map(Path, replies) valid_response = next(filter(Path.exists, paths)) print(valid_response) Enter a path: a b c This path doesn't exist! Try again: 1 This path doesn't exist! Try again: existing_file.txt existing_file.txt

限制尝试次数:

如果您不想通过无数次地询问用户某个问题来折磨用户，您可以在itertools.repeat调用中指定一个限制。这可以与为下一个函数提供默认值相结合:

from itertools import chain, repeat

prompts = chain(["Enter a number:"], repeat("Not a number! Try again:", 2))
replies = map(input, prompts)
valid_response = next(filter(str.isdigit, replies), None)
print("You've failed miserably!" if valid_response is None else 'Well done!')

Enter a number: a
Not a number! Try again: b
Not a number! Try again: c
You've failed miserably!

预处理输入数据:

有时，如果用户不小心以大写形式提供输入，或者在字符串的开头或结尾使用空格，我们不想拒绝输入。为了考虑这些简单的错误，我们可以通过应用str.lower和str.strip方法对输入数据进行预处理。例如，在成员测试的情况下，代码看起来像这样:

from itertools import chain, repeat

fruits = {'apple', 'orange', 'peach'}
prompts = chain(["Enter a fruit: "], repeat("I don't know this one! Try again: "))
replies = map(input, prompts)
lowercased_replies = map(str.lower, replies)
stripped_replies = map(str.strip, lowercased_replies)
valid_response = next(filter(fruits.__contains__, stripped_replies))
print(valid_response)

Enter a fruit:  duck
I don't know this one! Try again:     Orange
orange

在有许多函数用于预处理的情况下，使用一个函数执行函数组合可能更容易。例如，使用这里的一个:

from itertools import chain, repeat

from lz.functional import compose

fruits = {'apple', 'orange', 'peach'}
prompts = chain(["Enter a fruit: "], repeat("I don't know this one! Try again: "))
replies = map(input, prompts)
process = compose(str.strip, str.lower)  # you can add more functions here
processed_replies = map(process, replies)
valid_response = next(filter(fruits.__contains__, processed_replies))
print(valid_response)

Enter a fruit:  potato
I don't know this one! Try again:   PEACH
peach

组合验证规则:

例如，对于一个简单的情况，当程序要求年龄在1到120之间时，可以添加另一个过滤器:

from itertools import chain, repeat

prompt_msg = "Enter your age (1-120): "
bad_input_msg = "Wrong input."
prompts = chain([prompt_msg], repeat('\n'.join([bad_input_msg, prompt_msg])))
replies = map(input, prompts)
numeric_replies = filter(str.isdigit, replies)
ages = map(int, numeric_replies)
positive_ages = filter((0).__lt__, ages)
not_too_big_ages = filter((120).__ge__, positive_ages)
valid_response = next(not_too_big_ages)
print(valid_response)

但是在有很多规则的情况下，最好实现一个执行逻辑连接的函数。在下面的例子中，我将使用一个现成的例子:

from functools import partial
from itertools import chain, repeat

from lz.logical import conjoin


def is_one_letter(string: str) -> bool:
    return len(string) == 1


rules = [str.isalpha, str.isupper, is_one_letter, 'C'.__le__, 'P'.__ge__]

prompt_msg = "Enter a letter (C-P): "
bad_input_msg = "Wrong input."
prompts = chain([prompt_msg], repeat('\n'.join([bad_input_msg, prompt_msg])))
replies = map(input, prompts)
valid_response = next(filter(conjoin(*rules), replies))
print(valid_response)

Enter a letter (C-P):  5
Wrong input.
Enter a letter (C-P):  f
Wrong input.
Enter a letter (C-P):  CDE
Wrong input.
Enter a letter (C-P):  Q
Wrong input.
Enter a letter (C-P):  N
N

不幸的是，如果有人需要为每个失败的情况定制消息，那么恐怕没有非常实用的方法。或者，至少我找不到。