#
print('\n\n\n>>>Generating word structure trees for single char character...')
for single_char_word in SingleCharWord:
if single_char_word in UpdatedVec:
tag_set=UpdatedVec[single_char_word]
else:
tag_set=Word2Tag[single_char_word]
print('Fail!')
break
tag_str=set2str(tag_set)
tree_str='( '+tag_str+'_u '+single_char_word+' )' # revers to old version of discarding extra unary rule on Oct. 5 ---
#tree_str=' ( '+tag_str+'_u '+' ( '+tag_str+'_b '+single_char_word+' ) ) ' #<-------- XXX Change on Oct. 4------
tree=ParentedTree(tree_str)
index=len(NewForest)
NewForest.append(tree)
Word2treeID[single_char_word]=index
print('done! Such trees have been appended to NewForest, and word2treeId mapping has been stored in Word2treeID hashtable.')
new_tree=ParentedTree(tree.pprint())
for subtree in new_tree.subtrees(): #update current tree
string=''.join(subtree.leaves())
if string in Vec: #leaves/string in the record
tag, subscript= decompose_tag(subtree.node)
tag_vec_str=set2str(Vec[string]) #get the tag-set of the node according to the leaves and convert it to str
subtree.node=tag_vec_str+'_'+subscript #update the node with the new_tag
NewForest.append(new_tree)
for subtree in new_tree.subtrees(lambda x: len(x)>1 and ''.join(x.leaves()) in Vec ): # extraction known production rules
string=''.join(subtree.leaves())
left_child=subtree[0]
right_child=subtree[1]
