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import base64 | ||
import re | ||
import string | ||
import struct | ||
import unittest | ||
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def gen_encoded(size, text=''): | ||
size -= 1 | ||
if 0 <= size: | ||
for x in string.digits + string.ascii_letters: | ||
yield from gen_encoded(size, text + x) | ||
else: | ||
yield text | ||
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def check_asc_or_desc(line_data_value: str) -> bool: | ||
"""ValuePatternCheck as example""" | ||
count_asc = 1 | ||
count_desc = 1 | ||
for i in range(len(line_data_value) - 1): | ||
if line_data_value[i] in string.ascii_letters + string.digits \ | ||
and ord(line_data_value[i + 1]) - ord(line_data_value[i]) == 1: | ||
count_asc += 1 | ||
if 4 == count_asc: | ||
return True | ||
else: | ||
count_asc = 1 | ||
if line_data_value[i] in string.ascii_letters + string.digits \ | ||
and ord(line_data_value[i]) - ord(line_data_value[i + 1]) == 1: | ||
count_desc += 1 | ||
if 4 == count_desc: | ||
return True | ||
else: | ||
count_desc = 1 | ||
continue | ||
return False | ||
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def main(): | ||
pattern_similar = re.compile(r"(\w)\1{3,}") | ||
counter = 0 | ||
for x in gen_encoded(4): | ||
v="pA5s"+x | ||
if pattern_similar.findall(v) or check_asc_or_desc(v): | ||
continue | ||
outer = sum(ord(i) for i in v) | ||
data = base64.b64decode(v) | ||
inner1, inner2, inner3 = struct.unpack("<HHH", data) | ||
if inner2 ^ outer == inner1 ^ inner3: | ||
counter += 1 | ||
print(counter, v) | ||
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if """__main__""" == __name__: | ||
main() |
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import binascii | ||
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import multiprocessing | ||
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def run(inpt): | ||
for i in range(inpt[1] << 28, inpt[1] << 28 + 0x10000000): | ||
aug = f"{i:08x}".encode() | ||
data = aug + inpt[0] | ||
crc32 = binascii.crc32(data) | ||
if 0 == crc32: | ||
print(data) | ||
break | ||
if 0 == i & 0xFFFFFF: | ||
print(f"{i:08x}", aug) | ||
else: | ||
print("nope") | ||
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def main(): | ||
with open(__file__, 'rb') as f: | ||
text = f.read() | ||
inpt = [(text, x) for x in range(16)] | ||
with multiprocessing.Pool(16) as p: | ||
for _ in p.map(run, inpt): | ||
pass | ||
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if __name__ == '__main__': | ||
main() |
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import io | ||
import tarfile | ||
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def main(filename): | ||
data = bytearray() | ||
with open(filename, 'rb') as f: | ||
data = f.read() | ||
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with tarfile.TarFile(fileobj=io.BytesIO(data)) as tf: | ||
for tfi in tf.getmembers(): | ||
# skip directory | ||
if not tfi.isreg(): | ||
continue | ||
if tfi.size > 1 << 30: | ||
print("Quota reached") | ||
continue | ||
with tf.extractfile(tfi) as f: | ||
f_seek = f.seek(io.SEEK_END) | ||
f_tell = f.tell() | ||
if f_tell > 1 << 30: | ||
print("Quota reached") | ||
continue | ||
f.seek(io.SEEK_SET) | ||
d = f.read() | ||
print(len(d)) | ||
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if __name__ == """__main__""": | ||
main("gnu-sparse-big.tar") |
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""" | ||
MIT License | ||
Copyright (c) 2024 Roman Babenko | ||
Permission is hereby granted, free of charge, to any person obtaining a copy | ||
of this software and associated documentation files (the "Software"), to deal | ||
in the Software without restriction, including without limitation the rights | ||
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell | ||
copies of the Software, and to permit persons to whom the Software is | ||
furnished to do so, subject to the following conditions: | ||
The above copyright notice and this permission notice shall be included in all | ||
copies or substantial portions of the Software. | ||
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR | ||
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, | ||
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE | ||
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER | ||
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, | ||
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE | ||
SOFTWARE. | ||
""" | ||
import statistics | ||
import sys | ||
import time | ||
from typing import List | ||
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LEN = 100 | ||
SIZE = 10000 | ||
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def perf_enum_list(args): | ||
x = args[0] | ||
for i in range(SIZE): | ||
for n, i in x: | ||
assert str(n) == i | ||
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def perf_plain_list(args): | ||
x = args[0] | ||
for i in range(SIZE): | ||
for n, i in enumerate(x): | ||
assert str(n) == i | ||
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def perf_test(func, data): | ||
stat: List[float] = [] | ||
for n in range(LEN): | ||
start_time = time.time() | ||
func(data) | ||
stat.append(time.time() - start_time) | ||
print(f"{func} Average = {statistics.mean(stat)} Deviation = {statistics.stdev(stat)}") | ||
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def main() -> int: | ||
start_time = time.time() | ||
l = [str(x) for x in range(10)] | ||
n = enumerate(l) | ||
perf_test(perf_enum_list, (n,)) | ||
perf_test(perf_plain_list, (l,)) | ||
print(f"Total time: {time.time() - start_time} SIZE={SIZE}") | ||
return 0 | ||
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# <function perf_enum_list at 0x7076afd33d90> Average = 0.00018164873123168945 Deviation = 1.3166524916387962e-05 | ||
# <function perf_plain_list at 0x7076af15bf40> Average = 0.008094820976257324 Deviation = 0.0003013285439674138 | ||
# Total time: 0.8281574249267578 SIZE=10000 | ||
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if __name__ == "__main__": | ||
sys.exit(main()) |