def main():
data = pd.read_csv(data_file_path)
data = data.drop(columns=["Unnamed: 0"])
(sentence, sentence_tokens) = readsentence() # take input from user and save text, tokenized text
if os.path.exists('mytagger.pkl'):
# try to open a previously saved tagger
input = open('mytagger.pkl', 'rb')
mytagger = load(input)
input.close()
else:
# no such tagger is found so train/save it
mytagger = traintagger()
output = open('mytagger.pkl', 'wb')
dump(mytagger, output, -1)
output.close()
tagged_tokens = mytagger.tag(sentence_tokens)
print(tagged_tokens)
if os.path.exists('mypcfg.pickle'):
# try to open a previously saved PCFG
input = open('mypcfg.pickle', 'rb')
mypcfg = load(input)
input.close()
else:
# no such PCFG exists, so induce/save it
mypcfg = buildpcfg()
output = open('mypcfg.pickle', 'wb')
dump(mypcfg, output)
output.close()
try:
tree = sequence_matching(tagged_tokens)
print("Sequence matching was used")
except:
parser = ViterbiParser(mypcfg)
tree = parser.parse(tagged_tokens)
print("Vitberi parser was used")
finally:
if not isinstance(tree, Tree):
Tree.pretty_print(next(tree)) # do something to print it out, or print error message if input couldn't be parsed
else: print(tree)
df2 = {'sentence': sentence, 'sentence tokens': sentence_tokens, 'tagged tokens': tagged_tokens}
data = data.append(df2, ignore_index=True)
data.to_csv(data_file_path)
print("Previous data:")
print(data)
productionrhs.append(node['type'])
if(node['type']=='num'):
val.append(node['num'])
elif(node['type'] in ['id','rop']):
val.append(node['buf'])
for prod in grammardict[productionlhs]:
print(prod['rhs'],productionrhs)
if(prod['rhs']==productionrhs):
print(prod['query'])
eval(prod['query'])
tree=[]
genAST(parse_tree)
tr=Tree('main',[])
tr.pretty_print()
root=stack['program_node'][0]
def draw(root,tree):
for i in root['children']:
if(i is not None):
if(root['name']=='if'):
print(i['name'])
if(i['leaf']):
tree.append(Tree(i['name'],[i['value']]))
else:
tree.append(Tree(i['name'],[]))
if(root['name']=='if'):
tree.pretty_print()
tr.pretty_print()
j=0
for i in root['children']:
