v0.1.2 Double Metaphone

this release adds the double metaphone algorithm

v0.1.0

the api can now be considered stable

this release moved some modules around, renamed some methods and picks better default values

import phonetic_matcher

# match scores
score = phonetic_matcher.fuzzy_match("mycroft", "microsoft")  # 0.7571428571428571
score = phonetic_matcher.fuzzy_match("cat", "dog")  # 0.4999999999999999

# best match selection
query = "mycroft"
choices = ["microsoft", "minecraft", "mike roft", "mein kampf", "my raft"]
best, score = phonetic_matcher.best_match(query, choices)  # mike roft 0.9047095761381476

# all matches
matches = phonetic_matcher.match(query, choices)
# [('mike roft', 0.9047095761381476),
#  ('minecraft', 0.7416326530612245),
#  ('microsoft', 0.7387755102040816),
#  ('my raft', 0.7083333333333333),
#  ('mein kampf', 0.48752834467120176)]

v0.0.2 - rapidfuzz match strategies

adds configurable match strategy

from phonetic_matcher import *

# Match strategies powered by rapidfuzz

s = phonetic_fuzzymatch("hey mycroft", "hey microsoft", strategy=MatchStrategy.RATIO)
print(s)  # 0.8874643874643875
s = phonetic_fuzzymatch("hey mycroft", "hey microsoft", strategy=MatchStrategy.PARTIAL_RATIO)
print(s)  # 0.8541666666666666
s = phonetic_fuzzymatch("hey mycroft", "hey microsoft", strategy=MatchStrategy.TOKEN_SORT_RATIO)
print(s)  # 0.8615384615384616
s = phonetic_fuzzymatch("hey mycroft", "hey microsoft", strategy=MatchStrategy.TOKEN_SET_RATIO)
print(s)  # 0.9615384615384615
s = phonetic_fuzzymatch("hey mycroft", "hey microsoft", strategy=MatchStrategy.PARTIAL_TOKEN_RATIO)
print(s)  # 0.9166666666666666
s = phonetic_fuzzymatch("hey mycroft", "hey microsoft", strategy=MatchStrategy.PARTIAL_TOKEN_SET_RATIO)
print(s)  # 0.9166666666666666
s = phonetic_fuzzymatch("hey mycroft", "hey microsoft", strategy=MatchStrategy.PARTIAL_TOKEN_SORT_RATIO)
print(s)  # 0.7803030303030303
s = phonetic_fuzzymatch("hey mycroft", "hey microsoft",  strategy=MatchStrategy.QUICK_LEV_RATIO)
print(s)  # 0.8874643874643875

0.0.1 - phonetic matcher

from phonetic_matcher import phonetic_bestmatch, phonetic_fuzzymatch
# match scores
score = phonetic_fuzzymatch("mycroft", "microsoft")  # 0.8368983957219251
score = phonetic_fuzzymatch("hey", "gay")  # 0.3076923076923077

# best match selection
query = "mycroft"
choices = ["microsoft", "minecraft", "mike roft", "mein kampf", "my raft"]
best, score = phonetic_bestmatch(query, choices) # mike roft 0.8823529411764706