数组初始化方式与decimal.InvalidOperation

调用函数

import scipy.misc
import numpy as np
from decimal import *

x = [i for i in range(10, 110, 10)]
print(x)


def countA_with_n(n):
    global A
    if n==0:
        A[n]=1

    else:
        for i in range(1, n+1):
            if A[n-i]==0:
                A[n-i]=countA_with_n(n - i)
            #t=(-1) ** (i + 1) * 2 ** ((n - i) * i)* scipy.misc.comb(n, i)*A[n-i]
            A[n] = Decimal(A[n]) + Decimal((-1) ** (i + 1)) * Decimal(2 ** ((n - i) * i)) * Decimal(scipy.misc.comb(n, i)) *Decimal(A[n-i])
            #A[n]+=t

    return A[n]

主函数: 数组声明不同带来的报错与否

1. 报错decimal.InvalidOperation的数组初始化版本

#主函数
for a in x:
    A = np.zeros(a+1) 
    #前40可以计算，50时会报错‘decimal.InvalidOperation: [<class 'decimal.InvalidOperation'>]’
    
    #A = [0]*(a+1) #可行的声明方法
    print(str(a),str(countA_with_n(a)))

2. 可行的初始化版本-改为创建列表

for a in x:
    A = [0]*(a+1) #可行的声明方法
    print(str(a),str(countA_with_n(a)))

输出结果

1. 报错时的内容

10 4.175098976430598e+18
20 2.3448804510510887e+72
30 2.7148544371675283e+158
C:...py:18: DeprecationWarning:     `comb` is deprecated!
    Importing `comb` from scipy.misc is deprecated in scipy 1.0.0. Use `scipy.special.comb` instead.
  A[n] = Decimal(A[n]) + Decimal((-1) ** (i + 1)) * Decimal(2 ** ((n - i) * i)) * Decimal(scipy.misc.comb(n, i)) *Decimal(A[n-i])
40 1.1241428263057385e+276
Traceback (most recent call last):
  File "C:xxx.py", line 65, in <module>
    print(str(a),str(countA_with_n(a)))
  File "...", line 16, in countA_with_n
    A[n-i]=countA_with_n(n - i)
  File "...", line 16, in countA_with_n
    A[n-i]=countA_with_n(n - i)
  File "...", line 16, in countA_with_n
    A[n-i]=countA_with_n(n - i)
  [Previous line repeated 2 more times]
  File "...", line 18, in countA_with_n
    A[n] = Decimal(A[n]) + Decimal((-1) ** (i + 1)) * Decimal(2 ** ((n - i) * i)) * Decimal(scipy.misc.comb(n, i)) *Decimal(A[n-i])
decimal.InvalidOperation: [<class 'decimal.InvalidOperation'>]

2. 正常的输出计算结果

DeprecationWarning:     `comb` is deprecated!
    Importing `comb` from scipy.misc is deprecated in scipy 1.0.0. Use `scipy.special.comb` instead.
  A[n] = Decimal(A[n]) + Decimal((-1) ** (i + 1)) * Decimal(2 ** ((n - i) * i)) * Decimal(scipy.misc.comb(n, i)) *Decimal(A[n-i])
10 4175098976430598143
20 2.344880451051088988152559846E+72
30 2.714854437167529438448086150E+158
40 1.124142826305737256464230893E+276
50 7.150572516568295733815015286E+424
60 4.231846207434397246471425291E+604
70 1.670508589429661015982839133E+815
80 3.469441880795996245588913622E+1056
90 3.173623968493402552666007937E+1328
100 1.113552460282985747462212849E+1631

原因—list列表中的数据类不必相同的，而array数组的中的类型必须全部相同

（是否是数组与列表不同引起（？

参看 数组与列表的区别

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问题原题完整为：