没有使用 ironPython 命名 ctypes 的模块
本文关键字：ctypes 模块 命名 ironPython | 更新日期: 2023-09-27 17:56:31
我正在使用 IronPython 2.6 CTP for .NET 4.0 Beta 2 从 C# 调用 Python 方法。
我包括了以下库：
IronPython.dll
IronPython.Modules.dll
Microsoft.Dynamic.dll
Microsoft.Scripting.Debugging.dll
Microsoft.Scripting.dll
我正在调用的 Python 代码
#!/usr/bin/env python
import ctypes
class EAHashingAlgorithm():
def __init__(self):
# shift amounts in each round
self.r1Shifts = [ 7, 12, 17, 22, 7, 12, 17, 22, 7, 12, 17, 22, 7, 12, 17, 22 ]
self.r2Shifts = [ 5, 9, 14, 20, 5, 9, 14, 20, 5, 9, 14, 20, 5, 9, 14, 20 ]
self.r3Shifts = [ 4, 11, 16, 23, 4, 11, 16, 23, 4, 11, 16, 23, 4, 11, 16, 23 ]
self.r4Shifts = [ 6, 10, 15, 21, 6, 10, 15, 21, 6, 10, 15, 21, 6, 10, 15, 21 ]
self.hexChars = "0123456789abcdef"
def zero_fill_right_shit(self, data, bits):
return (data & 0xffffffff) >> bits
def num2hex(self, num):
'''
Convert a decimal number to hexadecimal
'''
temp = ''
for i in range(0, 4):
x = self.hexChars[ ( num >> (i * 8 + 4) ) & 0x0F ]
y = self.hexChars[ ( num >> (i * 8) ) & 0x0F ]
temp += (x + y)
return temp
def chunkMessage(self, string):
# TODO: ctypes.c_int32() in this method
nblk = (( len(string) + 8) >> 6) + 1
blks = [0] * (nblk * 16)
for i in range(0, len(string)):
blks[i >> 2] |= ord(string[i]) << ((i % 4) * 8)
i = i + 1
blks[i >> 2] |= 0x80 << ((i % 4) * 8)
blks[nblk * 16 - 2] = len(string) * 8
return blks
def add(self, x, y):
lsw = (x & 0xFFFF) + (y & 0xFFFF)
msw = (ctypes.c_int32(x >> 16).value) + (ctypes.c_int32(y >> 16).value) + (ctypes.c_int32(lsw >> 16).value)
return ctypes.c_int32( (ctypes.c_int32(msw << 16).value) | (lsw & 0xFFFF) ).value
# Bitwise rotate 32bit num to left
def bitwiseRotate(self, x, c):
return ctypes.c_int32( ctypes.c_int32(x << c).value | self.zero_fill_right_shit(x, 32 - c) ).value
# Basic MD5 operations
def cmn(self, q, a, b, x, s, t):
z1 = self.add(a, q)
z2 = self.add(x, t)
a1 = self.add(z1, z2)
x1 = self.bitwiseRotate(a1, s)
return self.add(x1, b)
def md5_f(self, a, b, c, d, x, s, t):
return self.cmn( ctypes.c_int32((b & c) | ((~b) & d)).value, a, b, x, s, t )
def md5_g(self, a, b, c, d, x, s, t):
return self.cmn( ctypes.c_int32((b & d) | (c & (~d))).value, a, b, x, s, t )
def md5_h(self, a, b, c, d, x, s, t):
return self.cmn( ctypes.c_int32(b ^ c ^ d).value, a, b, x, s, t )
def md5_i(self, a, b, c, d, x, s, t):
return self.cmn( ctypes.c_int32(c ^ (b | (~d))).value, a, b, x, s, t )
def EAHash(self, string):
x = self.chunkMessage(string)
a = 1732584193
b = -271733879
c = -1732584194
d = 271733878
for i in range(0, 16, 16):
tempA = a
tempB = b
tempC = c
tempD = d
# F
a = self.md5_f(a, b, c, d, x[i+0], self.r1Shifts[0], -680876936)
d = self.md5_f(d, a, b, c, x[i+1], self.r1Shifts[1], -389564586)
c = self.md5_f(c, d, a, b, x[i+2], self.r1Shifts[2], 606105819)
b = self.md5_f(b, c, d, a, x[i+3], self.r1Shifts[3], -1044525330)
a = self.md5_f(a, b, c, d, x[i+4], self.r1Shifts[4], -176418897)
d = self.md5_f(d, a, b, c, x[i+5], self.r1Shifts[5], 1200080426)
c = self.md5_f(c, d, a, b, x[i+6], self.r1Shifts[6], -1473231341)
b = self.md5_f(b, c, d, a, x[i+7], self.r1Shifts[7], -45705983)
a = self.md5_f(a, b, c, d, x[i+8], self.r1Shifts[8], 1770035416)
d = self.md5_f(d, a, b, c, x[i+9], self.r1Shifts[9], -1958414417)
c = self.md5_f(c, d, a, b, x[i+10], self.r1Shifts[10], -42063)
b = self.md5_f(b, c, d, a, x[i+11], self.r1Shifts[11], -1990404162)
a = self.md5_f(a, b, c, d, x[i+12], self.r1Shifts[12], 1804603682)
d = self.md5_f(d, a, b, c, x[i+13], self.r1Shifts[13], -40341101)
c = self.md5_f(c, d, a, b, x[i+14], self.r1Shifts[14], -1502002290)
b = self.md5_f(b, c, d, a, x[i+15], self.r1Shifts[15], 1236535329)
# G
a = self.md5_g(a, b, c, d, x[i+1], self.r2Shifts[0], -165796510)
d = self.md5_g(d, a, b, c, x[i+6], self.r2Shifts[1], -1069501632)
c = self.md5_g(c, d, a, b, x[i+11], self.r2Shifts[2], 643717713)
b = self.md5_g(b, c, d, a, x[i+0], self.r2Shifts[3], -373897302)
a = self.md5_g(a, b, c, d, x[i+5], self.r2Shifts[4], -701558691)
d = self.md5_g(d, a, b, c, x[i+10], self.r2Shifts[5], 38016083)
c = self.md5_g(c, d, a, b, x[i+15], self.r2Shifts[6], -660478335)
b = self.md5_g(b, c, d, a, x[i+4], self.r2Shifts[7], -405537848)
a = self.md5_g(a, b, c, d, x[i+9], self.r2Shifts[8], 568446438)
d = self.md5_g(d, a, b, c, x[i+14], self.r2Shifts[9], -1019803690)
c = self.md5_g(c, d, a, b, x[i+3], self.r2Shifts[10], -187363961)
b = self.md5_g(b, c, d, a, x[i+8], self.r2Shifts[11], 1163531501)
a = self.md5_g(a, b, c, d, x[i+13], self.r2Shifts[12], -1444681467)
d = self.md5_g(d, a, b, c, x[i+2], self.r2Shifts[13], -51403784)
c = self.md5_g(c, d, a, b, x[i+7], self.r2Shifts[14], 1735328473)
b = self.md5_g(b, c, d, a, x[i+12], self.r2Shifts[15], -1926607734)
# H
a = self.md5_h(a, b, c, d, x[i+5], self.r3Shifts[0], -378558)
d = self.md5_h(d, a, b, c, x[i+8], self.r3Shifts[1], -2022574463)
# line below uses self.r2Shifts[2] where as MD5 would use self.r3Shifts[2]
c = self.md5_h(c, d, a, b, x[i+11], self.r2Shifts[2], 1839030562)
b = self.md5_h(b, c, d, a, x[i+14], self.r3Shifts[3], -35309556)
a = self.md5_h(a, b, c, d, x[i+1], self.r3Shifts[4], -1530992060)
d = self.md5_h(d, a, b, c, x[i+4], self.r3Shifts[5], 1272893353)
c = self.md5_h(c, d, a, b, x[i+7], self.r3Shifts[6], -155497632)
b = self.md5_h(b, c, d, a, x[i+10], self.r3Shifts[7], -1094730640)
a = self.md5_h(a, b, c, d, x[i+13], self.r3Shifts[8], 681279174)
d = self.md5_h(d, a, b, c, x[i+0], self.r3Shifts[9], -358537222)
c = self.md5_h(c, d, a, b, x[i+3], self.r3Shifts[10], -722521979)
b = self.md5_h(b, c, d, a, x[i+6], self.r3Shifts[11], 76029189)
a = self.md5_h(a, b, c, d, x[i+9], self.r3Shifts[12], -640364487)
d = self.md5_h(d, a, b, c, x[i+12], self.r3Shifts[13], -421815835)
c = self.md5_h(c, d, a, b, x[i+15], self.r3Shifts[14], 530742520)
b = self.md5_h(b, c, d, a, x[i+2], self.r3Shifts[15], -995338651)
# I
a = self.md5_i(a, b, c, d, x[i+0], self.r4Shifts[0], -198630844)
d = self.md5_i(d, a, b, c, x[i+7], self.r4Shifts[1], 1126891415)
c = self.md5_i(c, d, a, b, x[i+14], self.r4Shifts[2], -1416354905)
b = self.md5_i(b, c, d, a, x[i+5], self.r4Shifts[3], -57434055)
a = self.md5_i(a, b, c, d, x[i+12], self.r4Shifts[4], 1700485571)
d = self.md5_i(d, a, b, c, x[i+3], self.r4Shifts[5], -1894986606)
c = self.md5_i(c, d, a, b, x[i+10], self.r4Shifts[6], -1051523)
b = self.md5_i(b, c, d, a, x[i+1], self.r4Shifts[7], -2054922799)
a = self.md5_i(a, b, c, d, x[i+8], self.r4Shifts[8], 1873313359)
d = self.md5_i(d, a, b, c, x[i+15], self.r4Shifts[9], -30611744)
c = self.md5_i(c, d, a, b, x[i+6], self.r4Shifts[10], -1560198380)
b = self.md5_i(b, c, d, a, x[i+13], self.r4Shifts[11], 1309151649)
a = self.md5_i(a, b, c, d, x[i+4], self.r4Shifts[12], -145523070)
d = self.md5_i(d, a, b, c, x[i+11], self.r4Shifts[13], -1120210379)
c = self.md5_i(c, d, a, b, x[i+2], self.r4Shifts[14], 718787259)
b = self.md5_i(b, c, d, a, x[i+9], self.r4Shifts[15], -343485551)
# This line is doubled for some reason, line below is not in the MD5 version
b = self.md5_i(b, c, d, a, x[i+ 9], self.r4Shifts[15], -343485551)
a = self.add(a, tempA)
b = self.add(b, tempB)
c = self.add(c, tempC)
d = self.add(d, tempD)
return self.num2hex(a) + self.num2hex(b) + self.num2hex(c) + self.num2hex(d)
用于调用该方法的 C# 代码：
eaHash(...)
ScriptEngine engine = Python.CreateEngine();
ScriptSource source = engine.CreateScriptSourceFromFile("EAHashingAlgorithm.py");
ScriptScope scope = engine.CreateScope();
source.Execute(scope);
dynamic eaHash = scope.GetVariable("EAHashingAlgorithm");
dynamic hash = eaHash();
this.answer = hash.EAHash(_answer);
收到
错误 ImportError: No module named ctypes
你需要
确保IronPython标准库也是可用的，因为ctypes也需要一些纯Python文件。添加指向库的engine.SetSearchPaths(new [] { "path/to/Lib" });调用。如果您使用的是安装程序，则它可能在C:'Program Files'IronPython 2.7 ;在 zip 文件中，它在 Lib .
如果要分发和应用程序，则使用相对于可执行文件的文件夹最有意义; Assembly.GetExecutingAssembly()可能对此有用。
我不断收到错误，没有名为 ctype 的模块......帮助任何人？
好吧，首先，该模块称为 ctypes ，而不是ctype .
但是，更重要的是，ctypes直到2.6版本才存在于IronPython中。
这包括早期的 2.6 alpha，显然还有 .NET 4 的 2.6 CTP（从早期的 alpha 中分叉而来）。如果你想知道它什么时候进入 2.6（哪个测试版等），这些信息可能在某个地方可用，但你真的不应该关心。使用最终的 2.6 或更高版本。
如果您无法做到这一点，这里至少有一个第三方实现可供您使用。