[FEATURE] Add text format segmentation

AUTHORS.md

@@ -12,5 +12,7 @@
 
 [Longhu Qin](https://github.com/KenelmQLH)
 
+[Pingzhi Li](https://github.com/pingzhiLi)
 
-The stared contributors are the corresponding authors. 
+
+The stared contributors are the corresponding authors. 

EduNLP/SIF/parser/parser.py

@@ -76,7 +76,7 @@ def _is_formula_legal(self, formula_str):
 
         """
         legal_tags = ['FormFigureID', 'FormFigureBase64', 'FigureID', 'FigureBase64',
-                      'SIFBlank', 'SIFChoice', 'SIFTag', 'SIFSep', 'SIFUnderline']
+                      'SIFBlank', 'SIFChoice', 'SIFTag', 'SIFSep', 'SIFUnderline', 'textf']
         for tag in legal_tags:
             if tag in formula_str:
                 return True

EduNLP/SIF/segment/segment.py

@@ -84,7 +84,11 @@ def __init__(self, item, figures: dict = None):
         self._ques_mark_segments = []
         self._tag_segments = []
         self._sep_segments = []
-        segments = re.split(r"(\$.+?\$)", item)
+
+        # remove $\textf{*} from the item$
+        item_no_textf = "".join(re.split(r"\$\\textf\{([^,]+?),b?d?i?t?u?w?}\$", item))
+
+        segments = re.split(r"(\$.+?\$)", item_no_textf)
         for segment in segments:
             if not segment:
                 continue
@@ -294,6 +298,10 @@ def seg(item, figures=None, symbol=None):
     >>> s2 = seg(test_item_1_str_2, symbol="fgm")
     >>> s2.tag_segments
     ['\\SIFTag{stem}', '\\SIFTag{options}']
+    >>> test_item_2 = r"已知$y=x$，则以下说法中$\textf{正确,b}$的是"
+    >>> s2 = seg(test_item_2)
+    >>> s2.text_segments
+    ['已知', '，则以下说法中正确的是']
     """
     segments = SegmentList(item, figures)
     if symbol is not None:

EduNLP/SIF/sif.py

@@ -182,6 +182,11 @@ def sif4sci(item: str, figures: (dict, bool) = None, safe=True, symbol: str = No
     []
     >>> tl3.ques_mark_segments
     [['\\SIFChoice']]
+    >>> test_item_3 = r"已知$y=x$，则以下说法中$\textf{正确,b}$的是"
+    >>> tl4 = sif4sci(test_item_3)
+    Warning: there is some chinese characters in formula!
+    >>> tl4.text_segments
+    [['已知'], ['说法', '中', '正确']]
     """
     try:
         if safe is True and is_sif(item) is not True:

tests/test_sif/test_segement.py

@@ -19,6 +19,10 @@ def test_segment(figure0, figure1, figure0_base64, figure1_base64):
         r"如图所示，则$\FormFigureBase64{%s}$的面积是$\SIFBlank$。$\FigureBase64{%s}$" % (figure0_base64, figure1_base64),
         figures=True
     )
-
     with pytest.raises(TypeError):
         s.append("123")
+    seg_test_text = seg(
+        r"如图所示，有三组$\textf{机器人,bu}$在踢$\textf{足球,b}$",
+        figures=True
+    )
+    assert seg_test_text.text_segments == ['如图所示，有三组机器人在踢足球']