from __future__ import print_function

import os

import h5py

import numpy as np

import argparse

import scipy.io as sio

from config import get_data_dir

# python 3 compatibility

try:

import cPickle as pickle

except ImportError:

import pickle

# Note that just like in RCC & RCC-DR, the graph is built on original data.

# Once the features are extracted from the pretrained SDAE,

# they are merged along with the mkNN graph data into a single file using this module.

parser = argparse.ArgumentParser(

description='This module is used to merge graph and extracted features into single file')

parser.add_argument('--data', dest='db', type=str, default='mnist', help='name of the dataset')

parser.add_argument('--graph', dest='g', help='path to the graph file', default=None, type=str)

parser.add_argument('--features', dest='feat', help='path to the feature file', default=None, type=str)

parser.add_argument('--out', dest='out', help='path to the output file', default=None, type=str)

parser.add_argument('--h5', dest='h5', action='store_true', help='to store as h5py file')

def main(args):

raise FileNotFoundError

if __name__ == '__main__':

args = parser.parse_args()

main(args)