tweak

src/kwja/cli/cli.py

@@ -240,7 +240,7 @@ def tasks_callback(value: str) -> str:
     """sort and validate specified tasks"""
     values: List[str] = [v for v in value.split(",") if v]
     tasks: List[str] = []
-    for candidate_task in ("typo", "senter", "seq2seq", "char", "word"):
+    for candidate_task in ("typo", "char", "seq2seq", "word"):
         if candidate_task in values:
             tasks.append(candidate_task)
             values.remove(candidate_task)
@@ -263,6 +263,7 @@ def tasks_callback(value: str) -> str:
     }
 
     if tuple(tasks) not in valid_task_combinations:
+        print(tuple(tasks))
         raise typer.BadParameter(
             "task combination is invalid. "
             f"Please specify one of {', '.join(repr(','.join(ts)) for ts in valid_task_combinations)}."

src/kwja/utils/constants.py

@@ -15,13 +15,6 @@
 MASKED = -1024.0
 RESOURCE_PATH = resource_files(kwja) / "resource"
 
-# ---------- senter module ----------
-SENT_SEGMENTATION_TAGS = ("B", "I")
-
-# ---------- seq2seq module----------
-NEW_LINE_TOKEN: str = "<extra_id_0>"  # "<br>"
-FULL_SPACE_TOKEN: str = "<extra_id_1>"  # "<full_space>"
-NO_CANON_TOKEN: str = "<extra_id_2>"  # "<no_canon>"
 
 # ---------- word (inference) dataset ----------
 SPLIT_INTO_WORDS_MODEL_NAMES = [
@@ -40,6 +33,9 @@
 TOKEN2TYPO_CORR_OP_TAG: Dict[str, str] = {v: k for k, v in TYPO_CORR_OP_TAG2TOKEN.items()}
 DUMMY_TOKEN = "<dummy>"
 
+# ---------- char module|sentence segmentation ----------
+SENT_SEGMENTATION_TAGS = ("B", "I")
+
 
 # ---------- char module|word segmentation ----------
 WORD_SEGMENTATION_TAGS = ("B", "I")
@@ -212,6 +208,12 @@
 )
 
 
+# ---------- seq2seq module----------
+NEW_LINE_TOKEN: str = "<extra_id_0>"  # "<br>"
+FULL_SPACE_TOKEN: str = "<extra_id_1>"  # "<full_space>"
+NO_CANON_TOKEN: str = "<extra_id_2>"  # "<no_canon>"
+
+
 # ---------- word module ----------
 class WordTask(Enum):
     READING_PREDICTION = "reading_prediction"