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from datetime import datetime |
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from modin_queries import utils |
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Q_NUM = 1 |
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def q(): |
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VAR1 = datetime(1998, 9, 2) |
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lineitem = utils.get_line_item_ds |
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lineitem() |
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def query(): |
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nonlocal lineitem |
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lineitem = lineitem() |
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lineitem_filtered = lineitem.loc[ |
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:, |
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[ |
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"l_quantity", |
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"l_extendedprice", |
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"l_discount", |
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"l_tax", |
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"l_returnflag", |
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"l_linestatus", |
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"l_shipdate", |
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"l_orderkey", |
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], |
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] |
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sel = lineitem_filtered.l_shipdate <= VAR1 |
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lineitem_filtered = lineitem_filtered[sel] |
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lineitem_filtered["sum_qty"] = lineitem_filtered.l_quantity |
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lineitem_filtered["sum_base_price"] = lineitem_filtered.l_extendedprice |
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lineitem_filtered["avg_qty"] = lineitem_filtered.l_quantity |
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lineitem_filtered["avg_price"] = lineitem_filtered.l_extendedprice |
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lineitem_filtered["sum_disc_price"] = lineitem_filtered.l_extendedprice * ( |
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1 - lineitem_filtered.l_discount |
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) |
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lineitem_filtered["sum_charge"] = ( |
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lineitem_filtered.l_extendedprice |
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* (1 - lineitem_filtered.l_discount) |
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* (1 + lineitem_filtered.l_tax) |
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) |
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lineitem_filtered["avg_disc"] = lineitem_filtered.l_discount |
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lineitem_filtered["count_order"] = lineitem_filtered.l_orderkey |
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gb = lineitem_filtered.groupby(["l_returnflag", "l_linestatus"]) |
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total = gb.agg( |
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{ |
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"sum_qty": "sum", |
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"sum_base_price": "sum", |
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"sum_disc_price": "sum", |
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"sum_charge": "sum", |
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"avg_qty": "mean", |
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"avg_price": "mean", |
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"avg_disc": "mean", |
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"count_order": "count", |
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} |
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) |
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result_df = total.reset_index().sort_values(["l_returnflag", "l_linestatus"]) |
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return result_df |
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utils.run_query(Q_NUM, query) |
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if __name__ == "__main__": |
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q() |
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