为什么这个python闭包不起作用？

Question

尝试让工作函数evaluate_poly（poly，x帴n）和compute_deriv2（poly，x帴n）在函数compute_root（poly，x帴n，epsilon）内工作

代码运行时，不会抛出错误，但不会返回任何内容。 这是密码

# 6.00 Problem Set 2
#
# Successive Approximation
#

def evaluate_poly(poly, x_n):
    """
    Computes the polynomial function for a given value x. Returns that value.

    Example:
    >>> poly = (0.0, 0.0, 5.0, 9.3, 7.0)    # f(x) = 7x^4 + 9.3x^3 + 5x^2
    >>> x = -13
    >>> print evaluate_poly(poly, x)  # f(-13) = 7(-13)^4 + 9.3(-13)^3 + 5(-13)^2
    180339.9

    poly: tuple of numbers, length > 0
    x: number
    returns: float
    """
    valHolder=0
    for i in range((0),(len(poly))):
        valHolder=valHolder+(poly[i])*(x_n** i)
    return float(valHolder)

def compute_deriv(poly):
    """
    Computes and returns the derivative of a polynomial function. If the
    derivative is 0, returns (0.0,).

    Example:
    >>> poly = (-13.39, 0.0, 17.5, 3.0, 1.0)    # x^4 + 3x^3 + 17.5x^2 - 13.39
    >>> print compute_deriv(poly)        # 4x^3 + 9x^2 + 35^x
    (0.0, 35.0, 9.0, 4.0)

    poly: tuple of numbers, length > 0
    returns: tuple of numbers
    """
    newList=list(poly)
    for i in range((0),(len(poly))):
        ##if i > 0.0:
        a=newList[i]
        b=i

        if b == 0:
            continue
        else:
            derivedNumber=a*b
        newList.append(derivedNumber)

    finishedTuple=tuple(newList)
    return finishedTuple[len(poly):]
    print "FINISHED TUPLE IS= ",finishedTuple

def compute_deriv2(poly,x_n):
    """
    Similar to first compute_deriv, this time takes a value for x

    """
    newList=list(poly)
    for i in range((0),(len(poly))):
        ##if i > 0.0:
        a=newList[i]
        b=i

        if b == 0:
            continue
        else:
            derivedNumber=a*b
        newList.append(derivedNumber)

    finishedTuple=tuple(newList[len(poly):])
    derivedValue=0
    for g in range((0),len(finishedTuple)):
        c=finishedTuple[g]
        d=g
        derivedValue+=c*(x_n**d)
    return derivedValue




def compute_root(poly, x_n, epsilon):
    """
    Uses Newton's method to find and return a root of a polynomial function.
    Returns a tuple containing the root and the number of iterations required
    to get to the root.

    Example:
    >>> poly = (-13.39, 0.0, 17.5, 3.0, 1.0)    #x^4 + 3x^3 + 17.5x^2 - 13.39
    >>> x_0 = 0.1
    >>> epsilon = .0001
    >>> print compute_root(poly, x_0, epsilon)
    (0.80679075379635201, 8.0)

    poly: tuple of numbers, length > 1.
         Represents a polynomial function containing at least one real root.
         The derivative of this polynomial function at x_0 is not 0.
    x_0: float
    epsilon: float > 0
    returns: tuple (float, int)
    """
    evaluate_poly(poly,x_n)
    compute_deriv2(poly,x_n)
    newList=list(poly)

这是我使用的输入。在

^{pr2}$

当我单独调用它们时，所有单独的函数都起作用，除了compute_根函数。你知道我该怎么关闭它吗？我需要在compute_root函数中重新定义它们吗？在

Answer 1

是的，不会抛出错误，但不会返回compute_root中的任何内容。这意味着这些函数的返回值：

evaluate_poly(poly,x_n)
compute_deriv2(poly,x_n)

只是被忽略了。此外，由于不返回任何内容的函数在默认情况下返回None，请执行以下操作：

^{pr2}$

将不可避免地打印None。在

要解决此问题，请在compute_root中添加一个return语句，该语句将返回所需的内容。我不知道这到底是什么，但可以举个例子：

a = evaluate_poly(poly,x_n)
b = compute_deriv2(poly,x_n)
c = newList=list(poly)
return a, b, c

Answer 2

计算根中没有返回

    e = evaluate_poly(poly,x_n)
    c = compute_deriv2(poly,x_n)
    newList=list(poly)
    return e, c # or whatever you want