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* [Barcode Validator](strings/barcode_validator.py)
* [Bitap String Match](strings/bitap_string_match.py)
* [Boyer Moore Search](strings/boyer_moore_search.py)
* [Bpe Tokenizer](strings/bpe_tokenizer.py)
* [Camel Case To Snake Case](strings/camel_case_to_snake_case.py)
* [Can String Be Rearranged As Palindrome](strings/can_string_be_rearranged_as_palindrome.py)
* [Capitalize](strings/capitalize.py)

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strings/bpe_tokenizer.py Normal file
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"""Byte-Pair Encoding: Subword-based tokenization algorithm used
by state-of-the-art language models.
Wikipedia: https://en.wikipedia.org/wiki/Byte_pair_encoding"""
import itertools
from collections import OrderedDict
def get_byte_pair_counts(ids: list[int]) -> dict:
"""Count consecutive byte-pairs of an encoded string.
>>> ids = [73, 32, 97, 109, 32, 74, 111, 110, 83, 110, 111, 119, 46]
>>> get_byte_pair_counts(ids)
{(73, 32): 1, (32, 97): 1, (97, 109): 1, (109, 32): 1, (32, 74): 1, (74, 111): 1, (111, 110): 1, (110, 83): 1, (83, 110): 1, (110, 111): 1, (111, 119): 1, (119, 46): 1}
>>> ids = [2, 3, 6, 2, 3, 6, 2, 5]
>>> get_byte_pair_counts(ids)
{(2, 3): 2, (3, 6): 2, (6, 2): 2, (2, 5): 1}
""" # noqa: E501
counts: dict = {}
for pair in itertools.pairwise(ids):
counts[pair] = counts.get(pair, 0) + 1
return counts
def merge(ids: list[int], pair: tuple, idx: int) -> list[int]:
"""Replace most occurring byte pair with new byte that is not used
in the data. For utf-8 encoding, we start with 256 as the new byte
>>> ids = [2, 3, 6, 2, 3, 6, 2, 5]
>>> pair = (2, 3)
>>> idx = 256
>>> merge(ids, pair, idx)
[256, 6, 256, 6, 2, 5]
"""
new_ids = []
i = 0
while i < len(ids):
if i < len(ids) - 1 and (ids[i] == pair[0] and ids[i + 1] == pair[1]):
new_ids.append(idx)
i += 2
else:
new_ids.append(ids[i])
i += 1
return new_ids
class Tokenizer:
"""Tokenize a string using the byte-pair encoding algorithm"""
def __init__(self, num_merges: int = 20, verbose: bool = False) -> None:
self.num_merges = num_merges
self.merges: dict = {}
self.verbose = verbose
def encode(self, text: str) -> list[int]:
"""Convert a string to tokens (bytes)
>>> t = Tokenizer()
>>> text = "I am JonSnow."
>>> t.encode(text)
[73, 32, 97, 109, 32, 74, 111, 110, 83, 110, 111, 119, 46]
>>> t = Tokenizer()
>>> text = ""
>>> t.encode(text)
[]
"""
text_b = text.encode("utf-8") # raw bytes
tokens = list(map(int, text_b)) # convert to list of integers
if self.verbose:
print(f"Input text: {text}")
print(f"Tokens: {tokens}")
ids = list(tokens) # create a copy of tokens
self.merges = OrderedDict() # store a mapping of merges (int, int) -> int
max_merges = len(tokens) - 1
num_merges = min(self.num_merges, max_merges)
# start merging most frequently occurring byte pairs
for i in range(num_merges):
counts = get_byte_pair_counts(ids)
pair = max(counts, key=counts.__getitem__)
if counts[pair] == 1:
continue
idx = 256 + i # create new token for every merge step
if self.verbose:
print(f"Merging {pair} into a new token {idx}")
ids = merge(ids, pair, idx)
self.merges[pair] = idx
return ids
def decode(self, ids: list[int]) -> str:
"""Convert a list of tokens to the original string
>>> t = Tokenizer()
>>> ids = [73, 32, 97, 109, 32, 74, 111, 110, 83, 110, 111, 119, 46]
>>> t.decode(ids)
'I am JonSnow.'
>>> t = Tokenizer()
>>> ids = []
>>> t.decode(ids)
''
"""
vocab = {idx: bytes([idx]) for idx in range(256)} # original vocabulary
# The iteration of items should be in the order of
# their insertion. This is the default behavior in Python 3
# but we use an OrderedDict explicitly here
for (p0, p1), idx in self.merges.items():
vocab[idx] = vocab[p0] + vocab[p1]
if self.verbose:
print("Vocabulary (after merging): {vocab}")
tokens = b"".join(vocab[idx] for idx in ids)
# handle UnicodeDecodeError by replacing the invalid
# start byte to conform to utf-8 format
text = tokens.decode("utf-8", errors="replace")
return text
if __name__ == "__main__":
import doctest
doctest.testmod()