9def69a805132ff7549744b5b30a2fa7531fa405,tmtoolkit/preprocess/_tmpreproc.py,TMPreproc,get_kwic,#TMPreproc#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#,366

Before Change

                    df_cols = ["doc", "context", "position", "token"] + meta_cols
                    dfs.append(pd.DataFrame(OrderedDict(zip(df_cols, df_windata))))

            return pd.concat(dfs).set_index(["doc", "context", "position"]).sort_index()
        elif not with_metadata:
            return {dl: [win["token"] for win in windows]
                    for dl, windows in kwic.items()}
        else:

After Change

                    df_cols = ["doc", "context", "position", "token"] + meta_cols
                    dfs.append(dt.Frame(OrderedDict(zip(df_cols, df_windata))))

            kwic_df = dt.rbind(*dfs)
            return kwic_df[:, :, dt.sort("doc", "context", "position")]
        elif not with_metadata:
            return {dl: [win["token"] for win in windows]
                    for dl, windows in kwic.items()}
        else:

Instances