from keras.preprocessing import sequence
from keras.datasets import imdb
def data(max_features=5000, maxlen=400):
print('Loading data...')
(x_train, y_train), (x_test, y_test) = imdb.load_data(num_words=max_features)
# subset the data
x_train = x_train[:1000]
y_train = y_train[:1000]
x_test = x_test[:100]
y_test = y_test[:100]
print(len(x_train), 'train sequences')
print(len(x_test), 'test sequences')
print('Pad sequences (samples x time)')
x_train = sequence.pad_sequences(x_train, maxlen=maxlen)
x_test = sequence.pad_sequences(x_test, maxlen=maxlen)
print('x_train shape:', x_train.shape)
print('x_test shape:', x_test.shape)
return (x_train, y_train, [1, 2, 3, "dummy_data"]), (x_test, y_test)
