Remove star imports and enable F403/F405 Ruff checks

pyproject.toml

@@ -317,6 +317,5 @@ select = [
     "W293",
 ]
 # Some rules are ignored for now; we can consider enabling them in the future.
-# F403 and F405 are ignored due to thai2fit/ulmfit module's star imports.
 # S101 is use of assert statement, should be an easy fix.
-extend-ignore = ["E402", "E501", "E722", "F403", "F405", "S101", "S202", "S301", "S310"]
+extend-ignore = ["E402", "E501", "E722", "S101", "S202", "S301", "S310"]

pythainlp/generate/thai2fit.py

@@ -17,7 +17,16 @@
 # fastai
 import fastai
 import pandas as pd
-from fastai.text import *
+from fastai.text import (
+    AWD_LSTM,
+    NumericalizeProcessor,
+    TextList,
+    TokenizeProcessor,
+    Tokenizer,
+    URLs,
+    language_model_learner,
+    untar_data,
+)
 
 # pythainlp
 from pythainlp.ulmfit import (

pythainlp/ulmfit/core.py

@@ -162,9 +162,8 @@ def document_vector(text: str, learn, data, agg: str = "mean"):
 
     :Example:
 
-        >>> from pythainlp.ulmfit import document_vectorr
-        >>> from fastai import *
-        >>> from fastai.text import *
+        >>> from pythainlp.ulmfit import document_vector
+        >>> from fastai.text import load_data, language_model_learner, AWD_LSTM
         >>>
         >>> # Load Data Bunch
         >>> data = load_data(MODEL_PATH, 'thwiki_lm_data.pkl')

tests/extra/testx_ulmfit.py

@@ -8,7 +8,16 @@
 import fastai
 import pandas as pd
 import torch
-from fastai.text import *
+from fastai.text import (
+    AWD_LSTM,
+    NumericalizeProcessor,
+    TextList,
+    TokenizeProcessor,
+    Tokenizer,
+    URLs,
+    language_model_learner,
+    untar_data,
+)
 
 from pythainlp.tokenize import THAI2FIT_TOKENIZER
 from pythainlp.ulmfit import (