nl2sql_library/nl2sql_query_embeddings.py [319:335]:
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        query_embeddings = [item.split(' ') for item in q_embed]
        new_array = []
        for elem in query_embeddings:
            new_row = []

            # Need to make some computations to convert the
            # embeddings stored as string to array of floats

            first_elem = elem[0].split('[')[1].split(',')[0]
            new_row.append(float(first_elem))
            for i in range(1, len(elem)-1):
                t_elem = elem[i].split(',')[0]
                new_row.append(float(t_elem))
            last_elem = elem[len(elem)-1].split(']')[0]
            new_row.append(float(last_elem))

            new_array.append(new_row)
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nl2sql_library/nl2sql_query_embeddings.py [347:363]:
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        query_embeddings = [item.split(' ') for item in q_embed]
        new_array = []
        for elem in query_embeddings:
            new_row = []

            # Need to make some computations to convert the
            # embeddings stored as string to array of floats

            first_elem = elem[0].split('[')[1].split(',')[0]
            new_row.append(float(first_elem))
            for i in range(1, len(elem)-1):
                t_elem = elem[i].split(',')[0]
                new_row.append(float(t_elem))
            last_elem = elem[len(elem)-1].split(']')[0]
            new_row.append(float(last_elem))

            new_array.append(new_row)
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