# Path: dsenser/lstm/explicit.py
# class LSTMExplicitSenser(LSTMBaseSenser):
#     """Class for LSTM disambiguation of explicit discourse relations.
# 
#     """
# 
#     @timeit("Training explicit LSTM classifier...")
#     def train(self, *args, **kwargs):
#         super(LSTMExplicitSenser, self).train(*args, **kwargs)


from dsenser.lstm.explicit import LSTMExplicitSenser
from mock import patch
from unittest import TestCase
import dsenser
#!/usr/bin/env python
# -*- coding: utf-8; mode: python; -*-

##################################################################
# Imports
from __future__ import absolute_import



##################################################################
# Constants


##################################################################
# Test Classes
class TestLSTMExplict(TestCase):
    def test_train(self):
        with patch("dsenser.lstm.lstmbase.LSTMBaseSenser.train",
                   autospec=True):

# Path: dsenser/lstm/explicit.py
# class LSTMExplicitSenser(LSTMBaseSenser):
#     """Class for LSTM disambiguation of explicit discourse relations.
# 
#     """
# 
#     @timeit("Training explicit LSTM classifier...")
#     def train(self, *args, **kwargs):
#         super(LSTMExplicitSenser, self).train(*args, **kwargs)


# Path: tests/lstm/test_lstm_explicit.py
from dsenser.lstm.explicit import LSTMExplicitSenser
from mock import patch
from unittest import TestCase
import dsenser

#!/usr/bin/env python
# -*- coding: utf-8; mode: python; -*-

##################################################################
# Imports
from __future__ import absolute_import



##################################################################
# Constants


##################################################################
# Test Classes
class TestLSTMExplict(TestCase):
    def test_train(self):
        with patch("dsenser.lstm.lstmbase.LSTMBaseSenser.train",
                   autospec=True):

            lstm = LSTMExplicitSenser()