filter by key score similarity + baseline probability for text without e

This commit is contained in:
relikd
2021-01-23 13:10:30 +01:00
parent 41f0981812
commit 3762fe0946
12 changed files with 170554 additions and 44 deletions

View File

@@ -7,7 +7,10 @@ from InterruptDB import InterruptDB
RUNES = 'ᚠᚢᚦᚩᚱᚳᚷᚹᚻᚾᛁᛄᛇᛈᛉᛋᛏᛒᛖᛗᛚᛝᛟᛞᚪᚫᚣᛡᛠ'
INVERT = False
MIN_SCORE = 1.4
IOC_MIN_SCORE = 1.3
KEY_MAX_SCORE = 0.05
AFF_MAX_SCORE = 0.04
IRP_F_ONLY = False
session_files = []
@@ -25,7 +28,12 @@ def break_cipher(fname, candidates, solver, key_fn):
slvr.output.QUIET = True
slvr.output.COLORS = False
slvr.KEY_INVERT = INVERT
key_max_score = KEY_MAX_SCORE
if key_fn.__name__ == 'GuessAffine':
key_max_score = AFF_MAX_SCORE
for irp_count, score, irp, kl, skips in candidates:
if IRP_F_ONLY and irp != 0:
continue
data = load_indices(filename, irp, maxinterrupt=irp_count)
if INVERT:
data = [28 - x for x in data]
@@ -34,10 +42,12 @@ def break_cipher(fname, candidates, solver, key_fn):
score, RUNES[irp], len(iguess.stops), key_fn.__name__))
testcase = iguess.join(iguess.from_occurrence_index(skips))
key = key_fn(testcase).guess(kl, fn_similarity)
key_score, key = key_fn(testcase).guess(kl, fn_similarity)
if key_score > key_max_score:
continue
print(f' key_score: {key_score:.4f}, {key}')
print(' skip:', skips)
print(' key:', key)
txtname = f'{key_fn.__name__}.{score:.3f}_{fname}_{kl}.{irp}'
txtname = f'{key_fn.__name__}.{key_score:.4f}_{fname}_{kl}.{irp}'
if INVERT:
txtname += '.inv'
while txtname in session_files:
@@ -45,7 +55,7 @@ def break_cipher(fname, candidates, solver, key_fn):
session_files.append(txtname)
outfile = f'out/{txtname}.txt'
with open(outfile, 'w') as f:
f.write(f'{kl}, {score:.4f}, {key}, {skips}\n')
f.write(f'{irp}, {kl}, {score:.4f}, {key}, {skips}\n')
slvr.output.file_output = outfile
slvr.INTERRUPT = RUNES[irp]
slvr.INTERRUPT_POS = skips
@@ -56,8 +66,7 @@ def break_cipher(fname, candidates, solver, key_fn):
#########################################
# main
#########################################
# db = InterruptDB.load('InterruptDB/db_secondary.txt')
db = InterruptDB.load()
db = InterruptDB.load() # 'db_secondary'
for fname in [
'p0-2', # ???
@@ -85,7 +94,7 @@ for fname in [
continue
print()
print(f'loading file: pages/{fname}.txt')
candidates = [x for x in db[fname] if x[1] >= MIN_SCORE]
candidates = [x for x in db[fname] if x[1] >= IOC_MIN_SCORE]
if not candidates:
maxscore = max(x[1] for x in db[fname])
print('No candidates. Highest score is only', maxscore)