'''
  The goal of this script is to display calculate tsne of pvectors.
  '''
  
  import os
  from os.path import isfile
  import argparse
  import numpy as np
  from sklearn.manifold import TSNE

  from core.data import read_features

  if __name__ == "__main__":

      # Defining argparse 
      parser = argparse.ArgumentParser(prog='pvector tsne', description='Calculate the tsne representation of pvector in 3 or 2d')
      parser.add_argument('features', type=str,
                          help='the path of the file you want to calculate tsne')
      parser.add_argument('-o', '--outfile', type=str,
                          default='.',
                          help='the path of the output file.')
      parser.add_argument('-n', '--n-comp', type=int, choices=[2, 3],
                          default='2',
                          help='number of components output of tsne')
  
      args = parser.parse_args()
  
      assert isfile(args.features)
  
      features_list = read_features(args.features)
      tuples_key_feat = np.vstack([ (key, feats) for key, feats in features_list.items()])
      keys, features = zip(*tuples_key_feat)
      feat_tsne = TSNE(n_components=args.n_comp).fit_transform(features)
      
      with open(args.outfile, "w") as of:
          for i in range(len(keys)):
              of.write(keys[i] + " " + " ".join([str(feat) for feat in feat_tsne[i]]) + "
  ")
      print("TSNE finished. Check if everything has been done well.")