Some suggestions from @narsil

bindings/python/examples/custom_components.py

@@ -1,6 +1,8 @@
 import jieba
 
-from tokenizers import Tokenizer, Regex
+from typing import List
+
+from tokenizers import Tokenizer, Regex, NormalizedString, PreTokenizedString
 from tokenizers.models import BPE
 from tokenizers.pre_tokenizers import PreTokenizer
 from tokenizers.normalizers import Normalizer
@@ -8,24 +10,52 @@ from tokenizers.decoders import Decoder
 
 
 class JiebaPreTokenizer:
-    def jieba_split(self, i, normalized):
-        return [normalized[w[1] : w[2]] for w in jieba.tokenize(str(normalized))]
+    def jieba_split(self, i: int, normalized_string: NormalizedString) -> List[NormalizedString]:
+        splits = []
+        # we need to call `str(normalized_string)` because jieba expects a str,
+        # not a NormalizedString
+        for token, start, stop in jieba.tokenize(str(normalized_string)):
+            splits.append(normalized_string[start:stop])
 
-    def pre_tokenize(self, pretok):
-        # Let's call split on the PreTokenizedString to split using `self.split`
-        # Here we can call `pretok.split` multiple times if we want to apply
-        # different algorithm
+        return splits
+        # We can also easily do it in one line:
+        # return [normalized_string[w[1] : w[2]] for w in jieba.tokenize(str(normalized_string))]
+
+    def odd_number_split(
+        self, i: int, normalized_string: NormalizedString
+    ) -> List[NormalizedString]:
+        # Just an odd example...
+        splits = []
+        last = 0
+        for (i, char) in enumerate(str(normalized_string)):
+            if char.isnumeric() and int(char) % 2 == 1:
+                splits.append(normalized_string[last:i])
+                last = i
+        # Don't forget the last one
+        splits.append(normalized_string[last:])
+        return splits
+
+    def pre_tokenize(self, pretok: PreTokenizedString):
+        # Let's call split on the PreTokenizedString to split using `self.jieba_split`
         pretok.split(self.jieba_split)
+        # Here we can call `pretok.split` multiple times if we want to apply
+        # different algorithm, but we generally just need to call it once.
+        pretok.split(self.odd_number_split)
 
 
 class CustomDecoder:
-    def decode(self, tokens):
+    def decode(self, tokens: List[str]) -> str:
         return "".join(tokens)
 
 
 class CustomNormalizer:
-    def normalize(self, normalized):
+    def normalize(self, normalized: NormalizedString):
+        # Most of these can be replaced by a `Sequence` combining some provided Normalizer,
+        # (ie Sequence([ NFKC(), Replace(Regex("\s+"), " "), Lowercase() ])
+        # and it should be the prefered way. That being said, here is an example of the kind
+        # of things that can be done here:
         normalized.nfkc()
+        normalized.filter(lambda char: not char.isnumeric())
         normalized.replace(Regex("\s+"), " ")
         normalized.lowercase()
 
@@ -36,12 +66,17 @@ tok.normalizer = Normalizer.custom(CustomNormalizer())
 tok.pre_tokenizer = PreTokenizer.custom(JiebaPreTokenizer())
 tok.decoder = Decoder.custom(CustomDecoder())
 
-input1 = "永和服装饰品有限公司"
-print("PreTokenize:", input1)
-print(tok.pre_tokenizer.pre_tokenize_str(input1))
+input = "永和服装饰品有限公司"
+print("PreTokenize:", input)
+print(tok.pre_tokenizer.pre_tokenize_str(input))
 # [('永和', (0, 2)), ('服装', (2, 4)), ('饰品', (4, 6)), ('有限公司', (6, 10))]
 
-input2 = "ℌ𝔢𝔩𝔩𝔬    𝔱𝔥𝔢𝔯𝔢 𝓂𝓎 𝒹ℯ𝒶𝓇 𝕕𝕖𝕒𝕣    𝕗𝕣𝕚𝕖𝕟𝕕!"
-print("Normalize:", input2)
-print(tok.normalizer.normalize_str(input2))
-# hello there my dear dear friend!
+input = "112233"
+print("PreTokenize:", input)
+print(tok.pre_tokenizer.pre_tokenize_str(input))
+# [('1', (0, 1)), ('122', (1, 4)), ('3', (4, 5)), ('3', (5, 6))]
+
+input = "1234 ℌ𝔢𝔩𝔩𝔬    𝔱𝔥𝔢𝔯𝔢 𝓂𝓎 𝒹ℯ𝒶𝓇 𝕕𝕖𝕒𝕣    𝕗𝕣𝕚𝕖𝕟𝕕!"
+print("Normalize:", input)
+print(tok.normalizer.normalize_str(input))
+# " hello there my dear dear friend!"