1{2 "document_id": "exec_00014_2000",3 "family": "exec",4 "split": "train",5 "text": "ENGINEERING TICKET\n\nBug report BR-7580: the function net_revenue(rows) must compute the total net revenue of the rows list (each row is a dict with keys ['region', 'product', 'units', 'unit_price', 'discount_pct', 'returned', 'shipped_days']). Rules agreed with the client on 5 June 2031: (1) exclude returned rows; (2) exclude rows whose region is 'Centre'; (3) exclude rows with fewer than 2 units; (4) line revenue = units * unit_price * (1 - discount_pct/100); (5) apply a tax of 5.0 % on the sum; (6) return the result rounded to 0 decimals (Python round). The current implementation forgets rule (2) and applies no tax.\n\nSample rows (first 6 of the extract):\n[{\"region\": \"Sud\", \"product\": \"epsilon\", \"units\": 17, \"unit_price\": 20.49, \"discount_pct\": 15, \"returned\": false, \"shipped_days\": 7}, {\"region\": \"Centre\", \"product\": \"zeta\", \"units\": 9, \"unit_price\": 61.62, \"discount_pct\": 25, \"returned\": false, \"shipped_days\": 3}, {\"region\": \"Est\", \"product\": \"zeta\", \"units\": 16, \"unit_price\": 28.29, \"discount_pct\": 25, \"returned\": false, \"shipped_days\": 5}, {\"region\": \"Est\", \"product\": \"delta\", \"units\": 10, \"unit_price\": 53.03, \"discount_pct\": 5, \"returned\": false, \"shipped_days\": 14}, {\"region\": \"Ouest\", \"product\": \"zeta\", \"units\": 40, \"unit_price\": 5.5, \"discount_pct\": 0, \"returned\": false, \"shipped_days\": 10}, {\"region\": \"Sud\", \"product\": \"delta\", \"units\": 30, \"unit_price\": 60.89, \"discount_pct\": 0, \"returned\": false, \"shipped_days\": 5}]\n\nUnit tests live in the tests/ directory and are executed in CI on every push.\nHistoric tickets BR-1183 and BR-2047 are unrelated and remain closed.\nHistoric tickets BR-1183 and BR-2047 are unrelated and remain closed.\nThe ticketing system assigns severity on a four-level scale; this ticket is severity 2.\nThe data engineering team refreshes the sales extract nightly at 02:00 local time.\nThe data engineering team refreshes the sales extract nightly at 02:00 local time.\nAll monetary values are in the client's reporting currency; no FX conversion is applied here.\nAll monetary values are in the client's reporting currency; no FX conversion is applied here.\nThe data dictionary defines shipped_days as the number of calendar days from order to shipment.\nThe ticketing system assigns severity on a four-level scale; this ticket is severity 2.\nThe data dictionary defines shipped_days as the number of calendar days from order to shipment.\nThe data dictionary defines shipped_days as the number of calendar days from order to shipment.\nThe data dictionary defines shipped_days as the number of calendar days from order to shipment.\nCode style follows the repository's formatter settings; do not reformat unrelated lines.\nThe data dictionary defines shipped_days as the number of calendar days from order to shipment.\nCode style follows the repository's formatter settings; do not reformat unrelated lines.\nThe ticketing system assigns severity on a four-level scale; this ticket is severity 2.\nThe ticketing system assigns severity on a four-level scale; this ticket is severity 2.\nThe data engineering team refreshes the sales extract nightly at 02:00 local time.\nHistoric tickets BR-1183 and BR-2047 are unrelated and remain closed.\nCode style follows the repository's formatter settings; do not reformat unrelated lines.\nThe ticketing system assigns severity on a four-level scale; this ticket is severity 2.\nHistoric tickets BR-1183 and BR-2047 are unrelated and remain closed.\nThe data engineering team refreshes the sales extract nightly at 02:00 local time.\nThe ticketing system assigns severity on a four-level scale; this ticket is severity 2.\nCode style follows the repository's formatter settings; do not reformat unrelated lines.\nHistoric tickets BR-1183 and BR-2047 are unrelated and remain closed.\nThe data engineering team refreshes the sales extract nightly at 02:00 local time.\nThe data engineering team refreshes the sales extract nightly at 02:00 local time.\nThe data dictionary defines shipped_days as the number of calendar days from order to shipment.\nThe data dictionary defines shipped_days as the number of calendar days from order to shipment.\nDeployment to production requires a reviewer approval and a green pipeline.\nHistoric tickets BR-1183 and BR-2047 are unrelated and remain closed.\nUnit tests live in the tests/ directory and are executed in CI on every push.\nThe ticketing system assigns severity on a four-level scale; this ticket is severity 2.\nDeployment to production requires a reviewer approval and a green pipeline.\n\nThe existing (buggy) implementation is:\n\ndef net_revenue(rows):\n total = 0.0\n for r in rows:\n if r['returned']:\n continue\n if r['units'] < 2:\n continue\n total += r['units'] * r['unit_price'] * (1 - r['discount_pct'] / 100.0)\n return round(total, 0)\n\nThe ticketing system assigns severity on a four-level scale; this ticket is severity 2.\nCode style follows the repository's formatter settings; do not reformat unrelated lines.\nThe data engineering team refreshes the sales extract nightly at 02:00 local time.\nThe data dictionary defines shipped_days as the number of calendar days from order to shipment.\nThe data dictionary defines shipped_days as the number of calendar days from order to shipment.\nThe data dictionary defines shipped_days as the number of calendar days from order to shipment.\nAll monetary values are in the client's reporting currency; no FX conversion is applied here.\nCode style follows the repository's formatter settings; do not reformat unrelated lines.\nDeployment to production requires a reviewer approval and a green pipeline.\nThe data engineering team refreshes the sales extract nightly at 02:00 local time.\nDeployment to production requires a reviewer approval and a green pipeline.\nCode style follows the repository's formatter settings; do not reformat unrelated lines.\nThe data dictionary defines shipped_days as the number of calendar days from order to shipment.\nThe data engineering team refreshes the sales extract nightly at 02:00 local time.\nThe ticketing system assigns severity on a four-level scale; this ticket is severity 2.\nCode style follows the repository's formatter settings; do not reformat unrelated lines.\nThe data dictionary defines shipped_days as the number of calendar days from order to shipment.\nDeployment to production requires a reviewer approval and a green pipeline.\nThe ticketing system assigns severity on a four-level scale; this ticket is severity 2.\nThe data dictionary defines shipped_days as the number of calendar days from order to shipment.\nAll monetary values are in the client's reporting currency; no FX conversion is applied here.\nThe data dictionary defines shipped_days as the number of calendar days from order to shipment.\nUnit tests live in the tests/ directory and are executed in CI on every push.\nThe ticketing system assigns severity on a four-level scale; this ticket is severity 2.\nCode style follows the repository's formatter settings; do not reformat unrelated lines.\nThe data dictionary defines shipped_days as the number of calendar days from order to shipment.\nThe data dictionary defines shipped_days as the number of calendar days from order to shipment.\nAll monetary values are in the client's reporting currency; no FX conversion is applied here.\nThe data engineering team refreshes the sales extract nightly at 02:00 local time.\nDeployment to production requires a reviewer approval and a green pipeline.\nHistoric tickets BR-1183 and BR-2047 are unrelated and remain closed.\nDeployment to production requires a reviewer approval and a green pipeline.\nHistoric tickets BR-1183 and BR-2047 are unrelated and remain closed.\nHistoric tickets BR-1183 and BR-2047 are unrelated and remain closed.\nDeployment to production requires a reviewer approval and a green pipeline.\nUnit tests live in the tests/ directory and are executed in CI on every push.",6 "char_len": 7910,7 "document_hash": "b25f9d4fb9c997b0cb6e19983b48490097f6592b8d17e66f305f5a1b3e8a8443",8 "questions": [9 {10 "question_id": "q00_exec",11 "qtype": "exec",12 "question": "Rewrite the Python function net_revenue(rows) so that it implements ALL the agreed rules in the ticket. Output only Python code defining net_revenue; no explanations, no markdown fences."13 }14 ]15}