4d8cca40654deb641809bf8fb376afd9b1633d52,nlp_architect/data/cdc_resources/gen_scripts/create_word_embed_glove_dump.py,,load_glove_for_vocab,#Any#Any#,39

Before Change

    glove_file.close()

    embeddings = np.asarray(embd, dtype=float)
    word_to_ix = {}
    for word in vocab:
        word_to_ix[word] = len(word_to_ix)

    return word_to_ix, embeddings

After Change

    logger.info("Loaded GloVe!")

    embeddings = np.asarray(embd, dtype=float)
    word_to_ix = {word: i for i, word in enumerate(vocab)}
    return word_to_ix, embeddings

Instances