snapshot before regression test
This commit is contained in:
4
includes/hashlib/__init__.py
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4
includes/hashlib/__init__.py
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@@ -0,0 +1,4 @@
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from .__md5 import md5, MD5_DIGEST_LEN
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from .__sha1 import sha1, SHA1_DIGEST_LEN
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from .__sha256 import sha256, SHA256_DIGEST_LEN
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from .__sha512 import sha512, SHA512_DIGEST_LEN
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131
includes/hashlib/__md5.py
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131
includes/hashlib/__md5.py
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import string
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import t, c
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# ==============================================
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# MD5 哈希算法
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# ==============================================
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MD5_BLOCK_LEN: t.CDefine = 64 # 分组块大小
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MD5_DIGEST_LEN: t.CDefine = 16 # 摘要输出长度
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# MD5 四轮非线性函数
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def md5_F(x: t.CUInt32T, y: t.CUInt32T, z: t.CUInt32T) -> t.CUInt32T: return (x & y) | (~x & z)
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def md5_G(x: t.CUInt32T, y: t.CUInt32T, z: t.CUInt32T) -> t.CUInt32T: return (x & z) | (y & ~z)
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def md5_H(x: t.CUInt32T, y: t.CUInt32T, z: t.CUInt32T) -> t.CUInt32T: return x ^ y ^ z
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def md5_I(x: t.CUInt32T, y: t.CUInt32T, z: t.CUInt32T) -> t.CUInt32T: return y ^ (x | ~z)
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# 循环左移
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def md5_rotl(x: t.CUInt32T, n: t.CInt) -> t.CUInt32T: return (x << n) | (x >> (32 - n))
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# MD5 常量表、移位表
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md5_T: t.CArray[t.CUInt32T, 64] = [
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0xd76aa478, 0xe8c7b756, 0x242070db, 0xc1bdceee, 0xf57c0faf, 0x4787c62a, 0xa8304613, 0xfd469501,
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0x698098d8, 0x8b44f7af, 0xffff5bb1, 0x895cd7be, 0x6b901122, 0xfd987193, 0xa679438e, 0x49b40821,
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0xf61e2562, 0xc040b340, 0x265e5a51, 0xe9b6c7aa, 0xd62f105d, 0x02441453, 0xd8a1e681, 0xe7d3fbc8,
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0x21e1cde6, 0xc33707d6, 0xf4d50d87, 0x455a14ed, 0xa9e3e905, 0xfcefa3f8, 0x676f02d9, 0x8d2a4c8a,
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0xfffa3942, 0x8771f681, 0x6d9d6122, 0xfde5380c, 0xa4beea44, 0x4bdecfa9, 0xf6bb4b60, 0xbebfbc70,
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0x289b7ec6, 0xeaa127fa, 0xd4ef3085, 0x04881d05, 0xd9d4d039, 0xe6db99e5, 0x1fa27cf8, 0xc4ac5665,
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0xf4292244, 0x432aff97, 0xab9423a7, 0xfc93a039, 0x655b59c3, 0x8f0ccc92, 0xffeff47d, 0x85845dd1,
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0x6fa87e4f, 0xfe2ce6e0, 0xa3014314, 0x4e0811a1, 0xf7537e82, 0xbd3af235, 0x2ad7d2bb, 0xeb86d391
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]
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md5_S: t.CArray[t.CInt, 64] = [
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7, 12, 17, 22, 7, 12, 17, 22, 7, 12, 17, 22, 7, 12, 17, 22,
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5, 9, 14, 20, 5, 9, 14, 20, 5, 9, 14, 20, 5, 9, 14, 20,
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4, 11, 16, 23, 4, 11, 16, 23, 4, 11, 16, 23, 4, 11, 16, 23,
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6, 10, 15, 21, 6, 10, 15, 21, 6, 10, 15, 21, 6, 10, 15, 21
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]
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# MD5 上下文结构体
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@t.Object
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class md5:
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state: t.CArray[t.CUInt32T, 4] # 4个32位状态寄存器
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count: t.CUInt64T # 已处理比特数
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buf: t.CArray[t.CUInt8T, MD5_BLOCK_LEN] # 分组缓冲区
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# 初始化MD5上下文
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def __init__(self):
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string.memset(self.buf, 0, MD5_BLOCK_LEN)
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self.state[0] = 0x67452301
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self.state[1] = 0xefcdab89
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self.state[2] = 0x98badcfe
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self.state[3] = 0x10325476
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self.count = 0
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# MD5 单分组压缩变换
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def transform(self, block: t.CUInt8T | t.CPtr):
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a: t.CUInt32T = self.state[0]
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b: t.CUInt32T = self.state[1]
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c: t.CUInt32T = self.state[2]
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d: t.CUInt32T = self.state[3]
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w: t.CArray[t.CUInt32T, 16]
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# 字节序转32位字
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for i in range(16):
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w[i] = ((t.CUInt32T(block[i * 4 + 0]) << 0) |
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(t.CUInt32T(block[i * 4 + 1]) << 8) |
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(t.CUInt32T(block[i * 4 + 2]) << 16) |
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(t.CUInt32T(block[i * 4 + 3]) << 24))
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# 4轮64步迭代
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for i in range(16):
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tmp: t.CUInt32T = md5_F(b, c, d) + a + md5_T[i] + w[i]
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a = d; d = c; c = b
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b += md5_rotl(tmp, md5_S[i])
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# 在 C 中的 for i<end 的循环退出后的值就是 range 的 end 参数
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for i in range(16, 32):
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tmp: t.CUInt32T = md5_G(b, c, d) + a + md5_T[i] + w[(5 * i + 1) % 16]
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a = d; d = c; c = b
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b += md5_rotl(tmp, md5_S[i])
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for i in range(32, 48):
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tmp: t.CUInt32T = md5_H(b, c, d) + a + md5_T[i] + w[(3 * i + 5) % 16]
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a = d; d = c; c = b
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b += md5_rotl(tmp, md5_S[i])
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for i in range(48, 64):
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tmp: t.CUInt32T = md5_I(b, c, d) + a + md5_T[i] + w[(7 * i + 0) % 16]
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a = d; d = c; c = b
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b += md5_rotl(tmp, md5_S[i])
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# 累加到状态
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self.state[0] += a
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self.state[1] += b
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self.state[2] += c
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self.state[3] += d
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# 分批输入数据
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def update(self, s: str):
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data: t.CUInt8T | t.CPtr = t.CUInt8T(s, t.CPtr)
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length: t.CSizeT = len(s)
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idx: t.CSizeT = self.count % MD5_BLOCK_LEN
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self.count += length
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if idx > 0:
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left: t.CSizeT = MD5_BLOCK_LEN - idx
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if length >= left:
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string.memcpy(self.buf + idx, data, left)
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self.transform(self.buf)
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data += left
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length -= left
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idx = 0
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while length >= MD5_BLOCK_LEN:
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self.transform(data)
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data += MD5_BLOCK_LEN
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length -= MD5_BLOCK_LEN
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if length > 0:
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string.memcpy(self.buf + idx, data, length)
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# 结束计算,输出16字节摘要
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def final(self, out: t.CArray[t.CUInt8T, MD5_DIGEST_LEN]):
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idx: t.CSizeT = self.count % MD5_BLOCK_LEN
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# 填充0x80结尾
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self.buf[idx] = 0x80
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idx += 1
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# 空间不够则先压缩一次
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if idx > MD5_BLOCK_LEN - 8:
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string.memset(self.buf + idx, 0, MD5_BLOCK_LEN - idx)
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self.transform(self.buf)
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idx = 0
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# 补0到末尾8字节
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string.memset(self.buf + idx, 0, MD5_BLOCK_LEN - 8 - idx)
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# 写入总比特数
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bits: t.CUInt64T = self.count << 3
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for i in range(8):
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self.buf[MD5_BLOCK_LEN - 8 + i] = (bits >> (i * 8)) & 0xFF
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self.transform(self.buf)
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# 状态转小端字节输出
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for i in range(4):
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out[i * 4 + 0] = (self.state[i] >> 0) & 0xFF
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out[i * 4 + 1] = (self.state[i] >> 8) & 0xFF
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out[i * 4 + 2] = (self.state[i] >> 16) & 0xFF
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out[i * 4 + 3] = (self.state[i] >> 24) & 0xFF
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120
includes/hashlib/__sha1.py
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120
includes/hashlib/__sha1.py
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@@ -0,0 +1,120 @@
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import string
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import t, c
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# ==============================================
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# SHA1 哈希算法
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# ==============================================
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SHA1_BLOCK_LEN: t.CDefine = 64
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SHA1_DIGEST_LEN: t.CDefine = 20
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def sha1_rotl(x: t.CUInt32T, n: t.CInt) -> t.CUInt32T: return (x << n) | (x >> (32 - n))
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# 三轮逻辑函数
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def sha1_f1(b: t.CUInt32T, c: t.CUInt32T, d: t.CUInt32T) -> t.CUInt32T: return (b & c) | (~b & d)
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def sha1_f2(b: t.CUInt32T, c: t.CUInt32T, d: t.CUInt32T) -> t.CUInt32T: return b ^ c ^ d
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def sha1_f3(b: t.CUInt32T, c: t.CUInt32T, d: t.CUInt32T) -> t.CUInt32T: return (b & c) | (b & d) | (c & d)
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# SHA1 上下文
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@t.Object
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class sha1:
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state: t.CArray[t.CUInt32T, 5]
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count: t.CUInt64T
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buf: t.CArray[t.CUInt8T, SHA1_BLOCK_LEN]
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def __init__(self):
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memset(self.buf, 0, SHA1_BLOCK_LEN)
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self.state[0] = 0x67452301
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self.state[1] = 0xefcdab89
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self.state[2] = 0x98badcfe
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self.state[3] = 0x10325476
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self.state[4] = 0xc3d2e1f0
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self.count = 0
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# 单分组压缩
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def transform(self, block: t.CUInt8T | t.CPtr):
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w: t.CArray[t.CUInt32T, 80]
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data: t.CUInt8T | t.CPtr = block
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# 前16个字
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for i in range(16):
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w[i] = (((t.CUInt32T(data[i * 4 + 0])) << 24) |
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((t.CUInt32T(data[i * 4 + 1])) << 16) |
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((t.CUInt32T(data[i * 4 + 2])) << 8) |
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((t.CUInt32T(data[i * 4 + 3])) << 0))
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# 扩展到80个字
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for i in range(16, 80):
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w[i] = sha1_rotl(w[i-3] ^ w[i-8] ^ w[i-14] ^ w[i-16],1)
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a: t.CUInt32T = self.state[0]
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b: t.CUInt32T = self.state[1]
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c: t.CUInt32T = self.state[2]
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d: t.CUInt32T = self.state[3]
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e: t.CUInt32T = self.state[4]
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k: t.CUInt32T
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tmp: t.CUInt32T
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# 4轮迭代
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for i in range(0, 20):
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k = 0x5a827999
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tmp = sha1_rotl(a,5) + sha1_f1(b, c, d) + e + k + w[i]
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e = d; d = c
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c = sha1_rotl(b, 30)
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b = a; a = tmp
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for i in range(20, 40):
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k = 0x6ed9eba1
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tmp = sha1_rotl(a,5) + sha1_f2(b, c, d) + e + k + w[i]
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e = d; d = c
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c = sha1_rotl(b, 30)
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b = a; a = tmp
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for i in range(40, 60):
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k = 0x8f1bbcdc
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tmp = sha1_rotl(a,5) + sha1_f3(b, c, d) + e + k + w[i]
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e = d; d = c
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c = sha1_rotl(b, 30)
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b = a; a = tmp
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for i in range(60, 80):
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k = 0xca62c1d6
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tmp = sha1_rotl(a,5) + sha1_f2(b, c, d) + e + k + w[i]
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e = d; d = c
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c = sha1_rotl(b, 30)
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b = a; a = tmp
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self.state[0] += a
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self.state[1] += b
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self.state[2] += c
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self.state[3] += d
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self.state[4] += e
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def update(self, s: str):
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data: t.CUInt8T | t.CPtr = t.CUInt8T(s, t.CPtr)
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length: t.CSizeT = len(s)
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idx: t.CSizeT = self.count % SHA1_BLOCK_LEN
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self.count += length
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if idx > 0:
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left: t.CSizeT = SHA1_BLOCK_LEN - idx
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if length >= left:
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memcpy(self.buf + idx, data, left)
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self.transform(self.buf)
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data += left
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length -= left
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idx = 0
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while length >= SHA1_BLOCK_LEN:
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self.transform(data)
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data += SHA1_BLOCK_LEN
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length -= SHA1_BLOCK_LEN
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if length > 0:
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memcpy(self.buf + idx, data, length)
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def final(self, out: t.CArray[t.CUInt8T, SHA1_DIGEST_LEN]):
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idx: t.CSizeT = self.count % SHA1_BLOCK_LEN
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self.buf[idx] = 0x80
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idx += 1
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if idx > SHA1_BLOCK_LEN - 8:
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memset(self.buf + idx, 0, SHA1_BLOCK_LEN - idx)
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self.transform(self.buf)
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idx = 0
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memset(self.buf + idx,0,SHA1_BLOCK_LEN-8-idx)
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bits: t.CUInt64T = self.count << 3
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# SHA1 大端写入长度
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for i in range(8):
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self.buf[SHA1_BLOCK_LEN - 8 + i] = (bits >> (56 - i * 8)) & 0xFF
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self.transform(self.buf)
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# 大端输出摘要
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for i in range(5):
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out[i * 4 + 0] = (self.state[i] >> 24) & 0xFF
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out[i * 4 + 1] = (self.state[i] >> 16) & 0xFF
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out[i * 4 + 2] = (self.state[i] >> 8) & 0xFF
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out[i * 4 + 3] = (self.state[i] >> 0) & 0xFF
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123
includes/hashlib/__sha256.py
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123
includes/hashlib/__sha256.py
Normal file
@@ -0,0 +1,123 @@
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import t, c
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# ==============================================
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# SHA256 哈希算法
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# ==============================================
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SHA256_BLOCK_LEN: t.CDefine = 64
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SHA256_DIGEST_LEN: t.CDefine = 32
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# SHA256 常量K
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sha256_K: t.CArray[t.CUInt32T, 64] = [
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0x428a2f98, 0x71374491, 0xb5c0fbcf, 0xe9b5dba5, 0x3956c25b, 0x59f111f1, 0x923f82a4, 0xab1c5ed5,
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0xd807aa98, 0x12835b01, 0x243185be, 0x550c7dc3, 0x72be5d74, 0x80deb1fe, 0x9bdc06a7, 0xc19bf174,
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0xe49b69c1, 0xefbe4786, 0x0fc19dc6, 0x240ca1cc, 0x2de92c6f, 0x4a7484aa, 0x5cb0a9dc, 0x76f988da,
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0x983e5152, 0xa831c66d, 0xb00327c8, 0xbf597fc7, 0xc6e00bf3, 0xd5a79147, 0x06ca6351, 0x14292967,
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0x27b70a85, 0x2e1b2138, 0x4d2c6dfc, 0x53380d13, 0x650a7354, 0x766a0abb, 0x81c2c92e, 0x92722c85,
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0xa2bfe8a1, 0xa81a664b, 0xc24b8b70, 0xc76c51a3, 0xd192e819, 0xd6990624, 0xf40e3585, 0x106aa070,
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0x19a4c116, 0x1e376c08, 0x2748774c, 0x34b0bcb5, 0x391c0cb3, 0x4ed8aa4a, 0x5b9cca4f, 0x682e6ff3,
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0x748f82ee, 0x78a5636f, 0x84c87814, 0x8cc70208, 0x90befffa, 0xa4506ceb, 0xbef9a3f7, 0xc67178f2
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]
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# SHA256 辅助函数
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def s0(x: t.CUInt32T) -> t.CUInt32T: return ((x >> 7) | (x << 25)) ^ ((x >> 18) | (x << 14)) ^ ((x >> 3))
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def s1(x: t.CUInt32T) -> t.CUInt32T: return ((x >> 17) | (x << 15)) ^ ((x >> 19) | (x << 13)) ^ ((x >> 10))
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def S0(x: t.CUInt32T) -> t.CUInt32T: return ((x >> 2) | (x << 30)) ^ ((x >> 13) | (x << 19)) ^ ((x >> 22) | (x << 10))
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def S1(x: t.CUInt32T) -> t.CUInt32T: return ((x >> 6) | (x << 26)) ^ ((x >> 11) | (x << 21)) ^ ((x >> 25) | (x << 7))
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def Ch(x: t.CUInt32T, y: t.CUInt32T, z: t.CUInt32T) -> t.CUInt32T: return (x & y) ^ (~x & z)
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def Maj(x: t.CUInt32T, y: t.CUInt32T, z: t.CUInt32T) -> t.CUInt32T: return (x & y) ^ (x & z) ^ (y & z)
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# SHA256 上下文
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@t.Object
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class sha256:
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state: t.CArray[t.CUInt32T, 8]
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count: t.CUInt64T
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buf: t.CArray[t.CUInt8T, SHA256_BLOCK_LEN]
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def __init__(self):
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memset(self, 0, sha256.__sizeof__())
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self.state[0] = 0x6a09e667
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self.state[1] = 0xbb67ae85
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self.state[2] = 0x3c6ef372
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self.state[3] = 0xa54ff53a
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self.state[4] = 0x510e527f
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self.state[5] = 0x9b05688c
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self.state[6] = 0x1f83d9ab
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self.state[7] = 0x5be0cd19
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self.count = 0
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# memset(self.buf, 0, SHA256_BLOCK_LEN)
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# 单分组压缩
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def transform(self, block: t.CUInt8T | t.CPtr):
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w: t.CArray[t.CUInt32T, 64]
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for i in range(16):
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w[i] = ((t.CUInt32T(block[i * 4 + 0]) << 24) |
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(t.CUInt32T(block[i * 4 + 1]) << 16) |
|
||||
(t.CUInt32T(block[i * 4 + 2]) << 8 ) |
|
||||
(t.CUInt32T(block[i * 4 + 3]) << 0 ))
|
||||
# 扩展64字
|
||||
for i in range(16, 64):
|
||||
w[i] = w[i-16] + s0(w[i-15]) + w[i-7] + s1(w[i-2])
|
||||
a: t.CUInt32T = self.state[0]
|
||||
b: t.CUInt32T = self.state[1]
|
||||
c: t.CUInt32T = self.state[2]
|
||||
d: t.CUInt32T = self.state[3]
|
||||
e: t.CUInt32T = self.state[4]
|
||||
f: t.CUInt32T = self.state[5]
|
||||
g: t.CUInt32T = self.state[6]
|
||||
h: t.CUInt32T = self.state[7]
|
||||
t1: t.CUInt32T
|
||||
t2: t.CUInt32T
|
||||
# 64步迭代
|
||||
for i in range(64):
|
||||
t1 = h + S1(e) + Ch(e,f,g) + sha256_K[i] + w[i]
|
||||
t2 = S0(a) + Maj(a,b,c)
|
||||
h = g; g = f; f = e
|
||||
e = d + t1
|
||||
d = c; c = b; b = a
|
||||
a = t1 + t2
|
||||
# 累加状态
|
||||
self.state[0] += a
|
||||
self.state[1] += b
|
||||
self.state[2] += c
|
||||
self.state[3] += d
|
||||
self.state[4] += e
|
||||
self.state[5] += f
|
||||
self.state[6] += g
|
||||
self.state[7] += h
|
||||
def update(self, s: str):
|
||||
data: t.CUInt8T | t.CPtr = t.CUInt8T(s, t.CPtr)
|
||||
length: t.CSizeT = len(s)
|
||||
idx: t.CSizeT = self.count % SHA256_BLOCK_LEN
|
||||
self.count += length
|
||||
if idx > 0:
|
||||
left: t.CSizeT = SHA256_BLOCK_LEN - idx
|
||||
if length >= left:
|
||||
memcpy(self.buf + idx, data, left)
|
||||
self.transform(self.buf)
|
||||
data += left
|
||||
length -= left
|
||||
idx = 0
|
||||
while length >= SHA256_BLOCK_LEN:
|
||||
self.transform(data)
|
||||
data += SHA256_BLOCK_LEN
|
||||
length -= SHA256_BLOCK_LEN
|
||||
if length > 0:
|
||||
memcpy(self.buf + idx, data, length)
|
||||
def final(self, out: t.CArray[t.CUInt8T, SHA256_DIGEST_LEN]):
|
||||
idx: t.CSizeT = self.count % SHA256_BLOCK_LEN
|
||||
self.buf[idx] = 0x80
|
||||
idx += 1
|
||||
if idx > SHA256_BLOCK_LEN - 8:
|
||||
memset(self.buf + idx, 0, SHA256_BLOCK_LEN - idx)
|
||||
self.transform(self.buf)
|
||||
idx = 0
|
||||
memset(self.buf + idx, 0, SHA256_BLOCK_LEN - 8 - idx)
|
||||
bits: t.CUInt64T = self.count << 3
|
||||
for i in range(8):
|
||||
self.buf[SHA256_BLOCK_LEN-8+i] = (bits >> (56 - i*8)) & 0xFF
|
||||
self.transform(self.buf)
|
||||
# 大端输出32字节摘要
|
||||
for i in range(8):
|
||||
out[i * 4 + 0] = (self.state[i] >> 24) & 0xFF
|
||||
out[i * 4 + 1] = (self.state[i] >> 16) & 0xFF
|
||||
out[i * 4 + 2] = (self.state[i] >> 8) & 0xFF
|
||||
out[i * 4 + 3] = (self.state[i] >> 0) & 0xFF
|
||||
148
includes/hashlib/__sha512.py
Normal file
148
includes/hashlib/__sha512.py
Normal file
@@ -0,0 +1,148 @@
|
||||
import t, c
|
||||
|
||||
|
||||
# ==============================================
|
||||
# SHA512 哈希算法
|
||||
# ==============================================
|
||||
SHA512_BLOCK_LEN: t.CDefine = 128
|
||||
SHA512_DIGEST_LEN: t.CDefine = 64
|
||||
|
||||
def sha512_ror(x: t.CUInt64T, n: int) -> t.CUInt64T: return (x >> n) | (x << (64 - n))
|
||||
def sha512_shr(x: t.CUInt64T, n: int) -> t.CUInt64T: return x >> n
|
||||
def sha512_Ch (x: t.CUInt64T, y: t.CUInt64T, z: t.CUInt64T) -> t.CUInt64T: return (x & y) ^ (~x & z)
|
||||
def sha512_Maj(x: t.CUInt64T, y: t.CUInt64T, z: t.CUInt64T) -> t.CUInt64T: return (x & y) ^ (x & z) ^ (y & z)
|
||||
def sha512_BigSigma0(x: t.CUInt64T) -> t.CUInt64T: return sha512_ror(x, 28) ^ sha512_ror(x, 34) ^ sha512_ror(x, 39)
|
||||
def sha512_BigSigma1(x: t.CUInt64T) -> t.CUInt64T: return sha512_ror(x, 14) ^ sha512_ror(x, 18) ^ sha512_ror(x, 41)
|
||||
def sha512_Sigma0(x: t.CUInt64T) -> t.CUInt64T: return sha512_ror(x, 1) ^ sha512_ror(x, 8) ^ sha512_shr(x, 7)
|
||||
def sha512_Sigma1(x: t.CUInt64T) -> t.CUInt64T: return sha512_ror(x, 19) ^ sha512_ror(x, 61) ^ sha512_shr(x, 6)
|
||||
|
||||
sha512_K: t.CArray[t.CUInt64T, 80] = [
|
||||
0x428a2f98d728ae22, 0x7137449123ef65cd, 0xb5c0fbcfec4d3b2f, 0xe9b5dba58189dbbc,
|
||||
0x3956c25bf348b538, 0x59f111f1b605d019, 0x923f82a4af194f9b, 0xab1c5ed5da6d8118,
|
||||
0xd807aa98a3030242, 0x12835b0145706fbe, 0x243185be4ee4b28c, 0x550c7dc3d5ffb4e2,
|
||||
0x72be5d74f27b896f, 0x80deb1fe3b1696b1, 0x9bdc06a725c71235, 0xc19bf174cf692694,
|
||||
0xe49b69c19ef14ad2, 0xefbe4786384f25e3, 0x0fc19dc68b8cd5b5, 0x240ca1cc77ac9c65,
|
||||
0x2de92c6f592b0275, 0x4a7484aa6ea6e483, 0x5cb0a9dcbd41fbd4, 0x76f988da831153b5,
|
||||
0x983e5152ee66dfab, 0xa831c66d2db43210, 0xb00327c898fb213f, 0xbf597fc7beef0ee4,
|
||||
0xc6e00bf33da88fc2, 0xd5a79147930aa725, 0x06ca6351e003826f, 0x142929670a0e6e70,
|
||||
0x27b70a8546d22ffc, 0x2e1b21385c26c926, 0x4d2c6dfc5ac42aed, 0x53380d139d95b3df,
|
||||
0x650a73548baf63de, 0x766a0abb3c77b2a8, 0x81c2c92e47edaee6, 0x92722c851482353b,
|
||||
0xa2bfe8a14cf10364, 0xa81a664bbc423001, 0xc24b8b70d0f89791, 0xc76c51a30654be30,
|
||||
0xd192e819d6ef5218, 0xd69906245565a910, 0xf40e35855771202a, 0x106aa07032bbd1b8,
|
||||
0x19a4c116b8d2d0c8, 0x1e376c085141ab53, 0x2748774cdf8eeb99, 0x34b0bcb5e19b48a8,
|
||||
0x391c0cb3c5c95a63, 0x4ed8aa4ae3418acb, 0x5b9cca4f7763e373, 0x682e6ff3d6b2b8a3,
|
||||
0x748f82ee5defb2fc, 0x78a5636f43172f60, 0x84c87814a1f0ab72, 0x8cc702081a6439ec,
|
||||
0x90befffa23631e28, 0xa4506cebde82bde9, 0xbef9a3f7b2c67915, 0xc67178f2e372532b,
|
||||
0xca273eceea26619c, 0xd186b8c721c0c207, 0xeada7dd6cde0eb1e, 0xf57d4f7fee6ed178,
|
||||
0x06f067aa72176fba, 0x0a637dc5a2c898a6, 0x113f9804bef90dae, 0x1b710b35131c471b,
|
||||
0x28db77f523047d84, 0x32caab7b40c72493, 0x3c9ebe0a15c9bebc, 0x431d67c49c100d4c,
|
||||
0x4cc5d4becb3e42b6, 0x597f299cfc657e2a, 0x5fcb6fab3ad6faec, 0x6c44198c4a475817
|
||||
]
|
||||
|
||||
@t.Object
|
||||
class sha512:
|
||||
state: t.CArray[t.CUInt64T, 8]
|
||||
count: t.CArray[t.CUInt64T, 2]
|
||||
buf: t.CArray[t.CUInt8T, SHA512_BLOCK_LEN]
|
||||
def __init__(self):
|
||||
memset(self, 0, sha512.__sizeof__())
|
||||
self.state[0] = 0x6a09e667f3bcc908
|
||||
self.state[1] = 0xbb67ae8584caa73b
|
||||
self.state[2] = 0x3c6ef372fe94f82b
|
||||
self.state[3] = 0xa54ff53a5f1d36f1
|
||||
self.state[4] = 0x510e527fade682d1
|
||||
self.state[5] = 0x9b05688c2b3e6c1f
|
||||
self.state[6] = 0x1f83d9abfb41bd6b
|
||||
self.state[7] = 0x5be0cd19137e2179
|
||||
def transform(self, block: t.CArray[t.CUInt8T, SHA512_BLOCK_LEN]):
|
||||
w: t.CArray[t.CUInt64T, 80]
|
||||
a: t.CUInt64T
|
||||
b: t.CUInt64T
|
||||
c: t.CUInt64T
|
||||
d: t.CUInt64T
|
||||
e: t.CUInt64T
|
||||
f: t.CUInt64T
|
||||
g: t.CUInt64T
|
||||
h: t.CUInt64T
|
||||
t1: t.CUInt64T
|
||||
t2: t.CUInt64T
|
||||
for i in range(16):
|
||||
w[i] = t.CUInt64T(block[i * 8 + 0]) << 56
|
||||
w[i] |= t.CUInt64T(block[i * 8 + 1]) << 48
|
||||
w[i] |= t.CUInt64T(block[i * 8 + 2]) << 40
|
||||
w[i] |= t.CUInt64T(block[i * 8 + 3]) << 32
|
||||
w[i] |= t.CUInt64T(block[i * 8 + 4]) << 24
|
||||
w[i] |= t.CUInt64T(block[i * 8 + 5]) << 16
|
||||
w[i] |= t.CUInt64T(block[i * 8 + 6]) << 8
|
||||
w[i] |= t.CUInt64T(block[i * 8 + 7]) << 0
|
||||
for i in range(16, 80):
|
||||
w[i] = sha512_Sigma1(w[i-2]) + w[i-7] + sha512_Sigma0(w[i-15]) + w[i-16]
|
||||
a = self.state[0]
|
||||
b = self.state[1]
|
||||
c = self.state[2]
|
||||
d = self.state[3]
|
||||
e = self.state[4]
|
||||
f = self.state[5]
|
||||
g = self.state[6]
|
||||
h = self.state[7]
|
||||
for i in range(80):
|
||||
t1 = h + sha512_BigSigma1(e) + sha512_Ch(e, f, g) + sha512_K[i] + w[i]
|
||||
t2 = sha512_BigSigma0(a) + sha512_Maj(a, b, c)
|
||||
h = g; g = f; f = e
|
||||
e = d + t1
|
||||
d = c; c = b; b = a
|
||||
a = t1 + t2
|
||||
self.state[0] += a
|
||||
self.state[1] += b
|
||||
self.state[2] += c
|
||||
self.state[3] += d
|
||||
self.state[4] += e
|
||||
self.state[5] += f
|
||||
self.state[6] += g
|
||||
self.state[7] += h
|
||||
def update(self, s: str):
|
||||
data: t.CUInt8T | t.CPtr = t.CUInt8T(s, t.CPtr)
|
||||
length: t.CSizeT = len(s)
|
||||
idx: t.CUInt32T = t.CUInt32T(self.count[0] % SHA512_BLOCK_LEN)
|
||||
self.count[0] += length
|
||||
if self.count[0] < length:
|
||||
self.count[1] += 1
|
||||
if idx > 0:
|
||||
left: t.CSizeT = SHA512_BLOCK_LEN - idx
|
||||
if length >= left:
|
||||
memcpy(self.buf + idx, data, left)
|
||||
self.transform(self.buf)
|
||||
data += left
|
||||
length -= left
|
||||
idx = 0
|
||||
while length >= SHA512_BLOCK_LEN:
|
||||
self.transform(data)
|
||||
data += SHA512_BLOCK_LEN
|
||||
length -= SHA512_BLOCK_LEN
|
||||
if length > 0:
|
||||
memcpy(self.buf + idx, data, length)
|
||||
def final(self, out: t.CArray[t.CUInt8T, SHA512_DIGEST_LEN]):
|
||||
bits_lo: t.CUInt64T = self.count[0] << 3
|
||||
bits_hi: t.CUInt64T = (self.count[1] << 3) | (self.count[0] >> 61)
|
||||
idx: t.CUInt32T = t.CUInt32T(self.count[0] % SHA512_BLOCK_LEN)
|
||||
self.buf[idx] = 0x80
|
||||
idx += 1
|
||||
if idx > SHA512_BLOCK_LEN - 16:
|
||||
memset(self.buf + idx, 0, SHA512_BLOCK_LEN - idx)
|
||||
self.transform(self.buf)
|
||||
idx = 0
|
||||
memset(self.buf + idx, 0, SHA512_BLOCK_LEN - 16 - idx)
|
||||
for i in range(8):
|
||||
self.buf[SHA512_BLOCK_LEN - 16 + i] = t.CUInt8T(bits_hi >> (56 - i * 8))
|
||||
for i in range(8):
|
||||
self.buf[SHA512_BLOCK_LEN - 8 + i] = t.CUInt8T(bits_lo >> (56 - i * 8))
|
||||
self.transform(self.buf)
|
||||
for i in range(8):
|
||||
out[i * 8 + 0] = t.CUInt8T(self.state[i] >> 56)
|
||||
out[i * 8 + 1] = t.CUInt8T(self.state[i] >> 48)
|
||||
out[i * 8 + 2] = t.CUInt8T(self.state[i] >> 40)
|
||||
out[i * 8 + 3] = t.CUInt8T(self.state[i] >> 32)
|
||||
out[i * 8 + 4] = t.CUInt8T(self.state[i] >> 24)
|
||||
out[i * 8 + 5] = t.CUInt8T(self.state[i] >> 16)
|
||||
out[i * 8 + 6] = t.CUInt8T(self.state[i] >> 8)
|
||||
out[i * 8 + 7] = t.CUInt8T(self.state[i] >> 0)
|
||||
Reference in New Issue
Block a user