update pyknp to rhoknp (#20890)

* update pyknp to rhoknp

* fix linter

* fix linter

* fix linter

* fix linter

* fix linter

* support rhoknp==1.1.0, fix testcase

setup.py

@@ -176,7 +176,7 @@ _deps = [
     "beautifulsoup4",
     "sudachipy>=0.6.6",
     "sudachidict_core>=20220729",
-    "pyknp>=0.6.1",
+    "rhoknp>=1.1.0",
 ]
 
 
@@ -245,7 +245,7 @@ class DepsTableUpdateCommand(Command):
 
 extras = {}
 
-extras["ja"] = deps_list("fugashi", "ipadic", "unidic_lite", "unidic", "sudachipy", "sudachidict_core", "pyknp")
+extras["ja"] = deps_list("fugashi", "ipadic", "unidic_lite", "unidic", "sudachipy", "sudachidict_core", "rhoknp")
 extras["sklearn"] = deps_list("scikit-learn")
 
 extras["tf"] = deps_list("tensorflow", "onnxconverter-common", "tf2onnx", "tensorflow-text", "keras-nlp")

src/transformers/dependency_versions_table.py

@@ -82,5 +82,5 @@ deps = {
     "beautifulsoup4": "beautifulsoup4",
     "sudachipy": "sudachipy>=0.6.6",
     "sudachidict_core": "sudachidict_core>=20220729",
-    "pyknp": "pyknp>=0.6.1",
+    "rhoknp": "rhoknp>=1.1.0",
 }

src/transformers/models/bert_japanese/tokenization_bert_japanese.py

@@ -647,25 +647,27 @@ class JumanppTokenizer:
         self.trim_whitespace = trim_whitespace
 
         try:
-            import pyknp
+            import rhoknp
         except ImportError:
             raise ImportError(
-                "You need to install pyknp to use JumanppTokenizer. "
-                "See https://github.com/ku-nlp/pyknp for installation."
+                "You need to install rhoknp to use JumanppTokenizer. "
+                "See https://github.com/ku-nlp/rhoknp for installation."
             )
 
-        self.juman = pyknp.Juman(jumanpp=True)
+        self.juman = rhoknp.Jumanpp()
 
     def tokenize(self, text, never_split=None, **kwargs):
         """Tokenizes a piece of text."""
         if self.normalize_text:
             text = unicodedata.normalize("NFKC", text)
 
+        text = text.strip()
+
         never_split = self.never_split + (never_split if never_split is not None else [])
         tokens = []
 
-        for mrph in self.juman.analysis(text).mrph_list():
-            token = mrph.midasi
+        for mrph in self.juman.apply_to_sentence(text).morphemes:
+            token = mrph.text
 
             if self.do_lower_case and token not in never_split:
                 token = token.lower()

src/transformers/utils/import_utils.py

@@ -726,7 +726,7 @@ def is_sudachi_available():
 
 
 def is_jumanpp_available():
-    return (importlib.util.find_spec("pyknp") is not None) and (shutil.which("jumanpp") is not None)
+    return (importlib.util.find_spec("rhoknp") is not None) and (shutil.which("jumanpp") is not None)
 
 
 # docstyle-ignore

tests/models/bert_japanese/test_tokenization_bert_japanese.py

@@ -318,6 +318,15 @@ class BertJapaneseTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
             ["アップル", "ストア", "で", "iPhone", "8", "が", "発売", "さ", "れた", "。"],
         )
 
+    @require_jumanpp
+    def test_jumanpp_tokenizer_ext(self):
+        tokenizer = JumanppTokenizer()
+
+        self.assertListEqual(
+            tokenizer.tokenize("ありがとうございますm(_ _)ｍ見つけるのが大変です。"),
+            ["ありがとう", "ございます", "m(_ _)m", "見つける", "の", "が", "大変です", "。"],
+        )
+
     def test_wordpiece_tokenizer(self):
         vocab_tokens = ["[UNK]", "[CLS]", "[SEP]", "こんにちは", "こん", "にちは", "ばんは", "##こん", "##にちは", "##ばんは"]