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autokey pattern

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relikd
2021-02-22 13:51:17 +01:00
parent ba8bf9d296
commit d7c2251840
10 changed files with 2461 additions and 5 deletions
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37
LP/InterruptDB.py
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@@ -84,6 +84,14 @@ def get_db(fname, irp, max_irp):
return InterruptDB(data, irp, irp_stops=stops)
def get_db_invert(fname, irp, max_irp):
stops, Z = InterruptIndices().consider(fname, 28 - irp, max_irp)
data = RuneTextFile(LPath.page(fname))
data.invert()
data = data.index_no_white[:Z]
return InterruptDB(data, irp, irp_stops=stops)
def enum_db_irps(dbname, fn_score, max_irp=20, irpset=[0, 28],
klset=range(1, 33), files=FILES_UNSOLVED, fn_load_db=get_db):
oldValues = {k: set((a, b, c) for a, _, b, c, _ in v)
@@ -206,6 +214,29 @@ def create_pattern_mirror_db(dbprefix, fn_score, offset=0):
f', kl: {kl}, score: {score:.4f}')
def create_autokey_db(dbprefix, fn_score):
# we misuse the db's keylen column as start offset. kl is always 1
primes = [2, 3, 5, 7, 11, 13, 17, 19, 23, 29, 31, 37, 41, 43, 47, 53,
59, 61, 67, 71, 73, 79, 83, 89, 97, 101, 103, 107, 109]
def fn_autokey_scr(x, kl):
res = []
prev = kl
for y in x:
z = (y - primes[prev]) % 29 # change here +/- or primes[prev]/prev
res.append(z)
prev = z
return fn_score(res, 1)
desc = '-p' # +/- prime, +/- index, '_inv' for invert
dbname = f'db_{dbprefix}_autokey_{desc}'
for db, fname, score, kl, skips in enum_db_irps(
dbname, fn_autokey_scr, max_irp=16, irpset=[0], klset=range(29)):
# fn_load_db=get_db_invert): # uncomment to invert, leave irpset=0
db.write(dbname, fname, score, kl, skips)
print(f'autokey {desc}, start: {kl}, score: {score:.4f}')
if __name__ == '__main__':
# create_primary('db_high', Probability.IC_w_keylen)
# create_primary('db_norm', Probability.target_diff)
@@ -215,8 +246,10 @@ if __name__ == '__main__':
# create_mod_b_db('norm', Probability.target_diff)
# create_pattern_shift_db('high', Probability.parts_high, offset=0)
# create_pattern_shift_db('norm', Probability.parts_norm, offset=0)
create_pattern_mirror_db('high', Probability.parts_high, offset=0)
create_pattern_mirror_db('norm', Probability.parts_norm, offset=0)
# create_pattern_mirror_db('high', Probability.parts_high, offset=0)
# create_pattern_mirror_db('norm', Probability.parts_norm, offset=0)
create_autokey_db('high', Probability.IC_w_keylen)
# create_autokey_db('norm', Probability.target_diff)
# create_secondary('db_high', 'db_high_secondary',
# Probability.IC_w_keylen, threshold=1.4)
# create_secondary('db_norm', 'db_norm_secondary',