#!/usr/bin/env python3
import logging
-from typing import Dict
+from typing import Dict, Mapping
import config
import decorator_utils
# 52 bits
@staticmethod
- def _compute_word_fingerprint(word: str, population) -> int:
+ def _compute_word_fingerprint(
+ word: str,
+ population: Mapping[str, int]
+ ) -> int:
fp = 0
for pair in sorted(population.items(), key=lambda x: x[1], reverse=True):
letter = pair[0]
# 32 bits
@staticmethod
- def _compute_word_letter_sig(letter_sigs, word: str, population) -> int:
+ def _compute_word_letter_sig(
+ letter_sigs: Mapping[str, int],
+ word: str,
+ population: Mapping[str, int],
+ ) -> int:
sig = 0
for pair in sorted(population.items(), key=lambda x: x[1], reverse=True):
letter = pair[0]
word = words_by_sigs[sig]
print(f'0x{sig:x}+{word}', file=f)
- def lookup(self, word: str, *, include_fuzzy_matches=False) -> Dict[str, bool]:
+ def lookup(
+ self,
+ word: str,
+ *,
+ include_fuzzy_matches: bool = False
+ ) -> Dict[str, bool]:
"""Looks up a potentially scrambled word optionally including near
"fuzzy" matches.
sig = Unscrambler.compute_word_sig(word)
return self.lookup_by_sig(sig, include_fuzzy_matches=include_fuzzy_matches)
- def lookup_by_sig(self, sig, *, include_fuzzy_matches=False) -> Dict[str, bool]:
+ def lookup_by_sig(
+ self,
+ sig: int,
+ *,
+ include_fuzzy_matches:bool = False
+ ) -> Dict[str, bool]:
"""Looks up a word that has already been translated into a signature by
a previous call to Unscrambler.compute_word_sig. Optionally returns
near "fuzzy" matches.