      Create a new model from raw data, like word frequencies, Brown clusters
      and word vectors.
      """
      if freqs_loc is not None and not freqs_loc.exists():
          prints(freqs_loc, title="Can't find words frequencies file", exits=1)
      clusters_loc = ensure_path(clusters_loc)
      vectors_loc = ensure_path(vectors_loc)
  
      probs, oov_prob = read_freqs(freqs_loc) if freqs_loc is not None else ({}, -20)
      vectors_data, vector_keys = read_vectors(vectors_loc) if vectors_loc else (None, None)
 
</s> remove         line = line.rstrip()
        pieces = line.rsplit(' ', vectors_data.shape[1]+1)
 </s> add         pieces = line.split() </s> remove     elif loc.parts[-1].endswith('zip'):
        zip_file = zipfile.ZipFile(str(loc))
        names = zip_file.namelist()
        file_ = zip_file.open(names[0])
        return (line.decode('utf8') for line in file_)
 </s> add  </s> remove 
    prints("{} entries, {} vectors".format(lex_added, vec_added),
           title="Sucessfully compiled vocab")
 </s> add     prints(Messages.M039.format(entries=lex_added, vectors=vec_added),
           title=Messages.M038)
        prints(freqs_loc, title=Messages.M037, exits=1)
      Create a new model from raw data, like word frequencies, Brown clusters
      and word vectors.
      """
      if freqs_loc is not None and not freqs_loc.exists():
        prints(freqs_loc, title=Messages.M037, exits=1)
      clusters_loc = ensure_path(clusters_loc)
      vectors_loc = ensure_path(vectors_loc)
  
      probs, oov_prob = read_freqs(freqs_loc) if freqs_loc is not None else ({}, -20)
      vectors_data, vector_keys = read_vectors(vectors_loc) if vectors_loc else (None, None)
keep keep keep keep replace keep keep keep keep keep
 Revert "Add support for .zip to init_model"

This reverts commit 7ee880a0ade4c690afe74eaf09e40818ccc2a470. 
spacy/cli/init_model.py