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Minor optimization

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This commit is contained in:
Miroslav Stampar
2025-05-13 13:16:37 +02:00
parent 8fcd78fcb1
commit 5622a261cd
4 changed files with 10 additions and 10 deletions
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2
thirdparty/multipart/multipartpost.py vendored
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@@ -34,7 +34,7 @@ from thirdparty.six.moves import urllib as _urllib
# Controls how sequences are uncoded. If true, elements may be given
# multiple values by assigning a sequence.
doseq = 1
doseq = True
class MultipartPostHandler(_urllib.request.BaseHandler):

10
thirdparty/pydes/pyDes.py vendored
View File

@@ -453,7 +453,7 @@ class des(_baseDes):
def __permutate(self, table, block):
"""Permutate this block with the specified table"""
return list(map(lambda x: block[x], table))
return [block[i] for i in table]
# Transform the secret key, so that it is ready for data processing
# Create the 16 subkeys, K[1] - K[16]
@@ -506,7 +506,7 @@ class des(_baseDes):
self.R = self.__permutate(des.__expansion_table, self.R)
# Exclusive or R[i - 1] with K[i], create B[1] to B[8] whilst here
self.R = list(map(lambda x, y: x ^ y, self.R, self.Kn[iteration]))
self.R = [b ^ k for b, k in zip(self.R, self.Kn[iteration])]
B = [self.R[:6], self.R[6:12], self.R[12:18], self.R[18:24], self.R[24:30], self.R[30:36], self.R[36:42], self.R[42:]]
# Optimization: Replaced below commented code with above
#j = 0
@@ -542,7 +542,7 @@ class des(_baseDes):
self.R = self.__permutate(des.__p, Bn)
# Xor with L[i - 1]
self.R = list(map(lambda x, y: x ^ y, self.R, self.L))
self.R = [b ^ l for b, l in zip(self.R, self.L)]
# Optimization: This now replaces the below commented code
#j = 0
#while j < len(self.R):
@@ -603,7 +603,7 @@ class des(_baseDes):
# Xor with IV if using CBC mode
if self.getMode() == CBC:
if crypt_type == des.ENCRYPT:
block = list(map(lambda x, y: x ^ y, block, iv))
block = [b ^ v for b, v in zip(block, iv)]
#j = 0
#while j < len(block):
# block[j] = block[j] ^ iv[j]
@@ -612,7 +612,7 @@ class des(_baseDes):
processed_block = self.__des_crypt(block, crypt_type)
if crypt_type == des.DECRYPT:
processed_block = list(map(lambda x, y: x ^ y, processed_block, iv))
processed_block = [b ^ v for b, v in zip(processed_block, iv)]
#j = 0
#while j < len(processed_block):
# processed_block[j] = processed_block[j] ^ iv[j]