fix the examples bug

Author: karin0018

EduNLP/I2V/i2v.py

@@ -8,8 +8,9 @@
 from ..Vector import T2V, get_pretrained_t2v as get_t2v_pretrained_model
 from ..Vector import get_pretrained_model_info, get_all_pretrained_models
 from longling import path_append
+from EduData import get_data
 from ..Tokenizer import Tokenizer, get_tokenizer
-from EduNLP.Pretrain import ElmoTokenizer, BertTokenizer, DisenQTokenizer, QuesNetTokenizer  
+from EduNLP.Pretrain import ElmoTokenizer, BertTokenizer, DisenQTokenizer, QuesNetTokenizer, Question
 from EduNLP import logger
 
 __all__ = ["I2V", "D2V", "W2V", "Elmo", "Bert", "DisenQ", "QuesNet", "get_pretrained_i2v"]

EduNLP/Vector/t2v.py

@@ -46,8 +46,7 @@ class T2V(object):
     Examples
     --------
     >>> item = [{'ques_content':'有公式$\\FormFigureID{wrong1?}$和公式$\\FormFigureBase64{wrong2?}$， \
-    ... 如图$\\FigureID{088f15ea-8b7c-11eb-897e-b46bfc50aa29}$,若$x,y$满足约束条件$
-        \\SIFSep$，则$z=x+7 y$的最大值为$\\SIFBlank$'}]
+    ... 如图$\\FigureID{088f15ea-8b7c-11eb-897e-b46bfc50aa29}$,若$x,y$满足约束条件$\\SIFSep$，则$z=x+7 y$的最大值为$\\SIFBlank$'}]
     >>> model_dir = "examples/test_model/d2v"
     >>> url, model_name, *args = get_pretrained_model_info('d2v_test_256')
     >>> path = get_data(url, model_dir); # doctest: +ELLIPSIS