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What was the result under interim head coach, Gary Darnell?
|
SELECT "Result" FROM table_32713 WHERE "Interim head coach" = 'gary darnell'
|
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what is the cheapest fare from WASHINGTON to SAN FRANCISCO leaving on 9 30
|
SELECT DISTINCT fare.fare_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, date_day AS DATE_DAY_0, date_day AS DATE_DAY_1, days AS DAYS_0, days AS DAYS_1, fare, fare_basis, flight, flight_fare WHERE ((CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'SAN FRANCISCO' AND DATE_DAY_1.day_number = 30 AND DATE_DAY_1.month_number = 9 AND DATE_DAY_1.year = 1991 AND DAYS_1.day_name = DATE_DAY_1.day_name AND flight.flight_days = DAYS_1.days_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'WASHINGTON' AND DATE_DAY_0.day_number = 30 AND DATE_DAY_0.month_number = 9 AND DATE_DAY_0.year = 1991 AND DAYS_0.day_name = DATE_DAY_0.day_name AND fare_basis.basis_days = DAYS_0.days_code AND fare.fare_basis_code = fare_basis.fare_basis_code AND flight_fare.fare_id = fare.fare_id AND flight.flight_id = flight_fare.flight_id AND flight.from_airport = AIRPORT_SERVICE_0.airport_code) AND fare.one_direction_cost = (SELECT MIN(FAREalias1.one_direction_cost) FROM airport_service AS AIRPORT_SERVICEalias2, airport_service AS AIRPORT_SERVICEalias3, city AS CITYalias2, city AS CITYalias3, date_day AS DATE_DAYalias2, date_day AS DATE_DAYalias3, days AS DAYSalias2, days AS DAYSalias3, fare AS FAREalias1, fare_basis AS FARE_BASISalias1, flight AS FLIGHTalias1, flight_fare AS FLIGHT_FAREalias1 WHERE (CITYalias3.city_code = AIRPORT_SERVICEalias3.city_code AND CITYalias3.city_name = 'SAN FRANCISCO' AND DATE_DAYalias3.day_number = 30 AND DATE_DAYalias3.month_number = 9 AND DATE_DAYalias3.year = 1991 AND DAYSalias3.day_name = DATE_DAYalias3.day_name AND FLIGHTalias1.flight_days = DAYSalias3.days_code AND FLIGHTalias1.to_airport = AIRPORT_SERVICEalias3.airport_code) AND CITYalias2.city_code = AIRPORT_SERVICEalias2.city_code AND CITYalias2.city_name = 'WASHINGTON' AND DATE_DAYalias2.day_number = 30 AND DATE_DAYalias2.month_number = 9 AND DATE_DAYalias2.year = 1991 AND DAYSalias2.day_name = DATE_DAYalias2.day_name AND FARE_BASISalias1.basis_days = DAYSalias2.days_code AND FAREalias1.fare_basis_code = FARE_BASISalias1.fare_basis_code AND FLIGHT_FAREalias1.fare_id = FAREalias1.fare_id AND FLIGHTalias1.flight_id = FLIGHT_FAREalias1.flight_id AND FLIGHTalias1.from_airport = AIRPORT_SERVICEalias2.airport_code)
|
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What is the expected speed up of the gpu-hmmer application?
|
SELECT expected_speed_up† FROM table_name_47 WHERE application = "gpu-hmmer"
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What county placed t2 and scored 68-69-68-72=277?
|
SELECT country FROM table_name_95 WHERE place = "t2" AND score = 68 - 69 - 68 - 72 = 277
|
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What camera has the highest Mpix with an aspect ratio of 2:1, a height less than 1536, and a width smaller than 2048?
|
SELECT MAX("Mpix") FROM table_15399 WHERE "Aspect Ratio" = '2:1' AND "Height" < '1536' AND "Width" < '2048'
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Average round for 22 pick that is overall smaller than 229?
|
SELECT AVG("Round") FROM table_50452 WHERE "Pick" = '22' AND "Overall" < '229'
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What is the highest pos for a driver with 1 podium?
|
SELECT MAX("Pos") FROM table_22620 WHERE "Podiums" = '1'
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When was the match that had Shaun Murphy as runner-up?
|
SELECT "Date" FROM table_78602 WHERE "Runner-up" = 'shaun murphy'
|
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find out the average age of elective admission patients who stayed in the hospital for 16 days.
|
SELECT AVG(demographic.age) FROM demographic WHERE demographic.admission_type = "ELECTIVE" AND demographic.days_stay = "16"
|
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In the game where the crowd was 11,327 and the hoem team scored 13.17 (95) How much did the away team score?
|
SELECT "Away team" FROM table_11517 WHERE "Crowd" > '11,327' AND "Home team score" = '13.17 (95)'
|
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15363,
1558,
33411,
366,
34,
3986,
1,
1875,
705,
1157,
11,
34159,
6,
5357,
366,
16060,
1074,
4776,
1,
796,
705,
1485,
13,
1558,
357,
3865,
33047
] |
Bar graph to show the average of high temperature from different day of week, and rank Y-axis in desc order.
|
SELECT day_of_week, AVG(high_temperature) FROM weekly_weather GROUP BY day_of_week ORDER BY AVG(high_temperature) DESC
|
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8,
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34
] |
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38678,
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35224,
7,
8929,
62,
11498,
21069,
8,
22196,
34
] |
What is the average rank of a mountain range located in Maine?
|
SELECT AVG("Rank") FROM table_14896 WHERE "State" = 'maine'
|
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366,
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1,
796,
705,
76,
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1,
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1,
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1,
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62,
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33411,
366,
9012,
1,
796,
705,
76,
5718,
6
] |
What date was the record 34-41?
|
SELECT date FROM table_name_11 WHERE record = "34-41"
|
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1
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1,
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1,
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1,
1,
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33411,
1700,
796,
366,
2682,
12,
3901,
1
] |
What is every entry for America when Atlantic Europe is Hoxniense?
|
SELECT america FROM table_22860_1 WHERE atlantic_europe = "Hoxniense"
|
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39,
1140,
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1
] |
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1,
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5109,
62,
44252,
431,
796,
366,
39,
1140,
8461,
1072,
1
] |
tell me what the top four most common output events during the previous year were.
|
SELECT d_items.label FROM d_items WHERE d_items.itemid IN (SELECT t1.itemid FROM (SELECT outputevents.itemid, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM outputevents WHERE DATETIME(outputevents.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') GROUP BY outputevents.itemid) AS t1 WHERE t1.c1 <= 4)
|
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360
] |
Which Compression ratio has a (none) DX 10 Name and a FOURCC of dxt4?
|
SELECT "Compression ratio" FROM table_39144 WHERE "DX 10 Name" = '(none)' AND "FOURCC" = 'dxt4'
|
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11698,
4093,
1,
796,
705,
67,
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19,
6
] |
Which Numbers (Quantity Ordered) have a Fuel Propulsion of cng, and a Year smaller than 2008, and a Make/ Model of nabi 40-lfw?
|
SELECT numbers__quantity_ordered_ FROM table_name_96 WHERE fuel_propulsion = "cng" AND year < 2008 AND make__model = "nabi 40-lfw"
|
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366,
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1652,
86,
1
] |
What is the value of match points when the points for is 570?
|
SELECT "Match points" FROM table_74627 WHERE "Points against" = '570'
|
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286,
2872,
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62,
22,
3510,
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33411,
366,
40710,
1028,
1,
796,
705,
39254,
6
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3084,
62,
22,
3510,
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33411,
366,
40710,
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1,
796,
705,
39254,
6
] |
What Decile has State Authority and Raumati South Area?
|
SELECT "Decile" FROM table_71027 WHERE "Authority" = 'state' AND "Area" = 'raumati south'
|
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5357,
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30547,
1,
796,
705,
430,
388,
7246,
5366,
6
] |
do you have a 747 that flies from SAN FRANCISCO to BALTIMORE
|
SELECT DISTINCT flight.flight_id FROM aircraft, airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, equipment_sequence, flight WHERE (aircraft.basic_type = '747' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'BALTIMORE' AND equipment_sequence.aircraft_code = aircraft.aircraft_code AND flight.aircraft_code_sequence = equipment_sequence.aircraft_code_sequence AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'SAN FRANCISCO' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code
|
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Which Tie is from everton?
|
SELECT "Tie no" FROM table_76224 WHERE "Home team" = 'everton'
|
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what is the latest flight leaving PITTSBURGH returning to DENVER
|
SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE (CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'PITTSBURGH' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'DENVER' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND flight.departure_time = (SELECT MAX(FLIGHTalias1.departure_time) FROM airport_service AS AIRPORT_SERVICEalias2, airport_service AS AIRPORT_SERVICEalias3, city AS CITYalias2, city AS CITYalias3, flight AS FLIGHTalias1 WHERE CITYalias2.city_code = AIRPORT_SERVICEalias2.city_code AND CITYalias2.city_name = 'PITTSBURGH' AND CITYalias3.city_code = AIRPORT_SERVICEalias3.city_code AND CITYalias3.city_name = 'DENVER' AND FLIGHTalias1.from_airport = AIRPORT_SERVICEalias2.airport_code AND FLIGHTalias1.to_airport = AIRPORT_SERVICEalias3.airport_code)
|
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subject has an hba1c between 7 % and 10 %
|
SELECT * FROM table_train_273 WHERE hba1c >= 7 AND hemoglobin_a1c_hba1c <= 10
|
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how many times is the name Derek Smith when the round is higher than 3?
|
SELECT COUNT("Overall") FROM table_44647 WHERE "Name" = 'derek smith' AND "Round" > '3'
|
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What age group has a time of 6:37.73 at the 200m breaststroke?
|
SELECT age_group FROM table_name_75 WHERE event = "200m breaststroke" AND time = "6:37.73"
|
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] |
If Coba is the song choice, what is the order number?
|
SELECT "Order #" FROM table_25263 WHERE "Song choice" = 'Coba'
|
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What is every location for the date of March 20?
|
SELECT "Location" FROM table_26115 WHERE "Date" = 'March 20'
|
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What interface is used on the scanner that has a 36 pages per minute?
|
SELECT interface FROM table_16409745_1 WHERE pages_per_minute__color_ = 36
|
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What was the score for the To par of +1?
|
SELECT "Score" FROM table_49561 WHERE "To par" = '+1'
|
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What was the total rating that had a score higher than 7 and a b score smaller than 8.65?
|
SELECT SUM("Total") FROM table_79241 WHERE "A Score" > '7' AND "B Score" < '8.65'
|
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On what date did James II take a consort?
|
SELECT became_consort FROM table_name_16 WHERE spouse = "james ii"
|
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Who was the womens double winner when the womens singles winner was Ding Ning?
|
SELECT womens_doubles FROM table_28138035_32 WHERE womens_singles = "Ding Ning"
|
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62,
2624,
33411,
1116,
641,
62,
12215,
829,
796,
366,
35,
278,
37400,
1
] |
How many games is collingwood the home side?
|
SELECT COUNT(crowd) FROM table_name_4 WHERE home_team = "collingwood"
|
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] |
Who won the tournament for the Atlantic Sun Conference?
|
SELECT tournament_winner FROM table_24248450_3 WHERE conference = "Atlantic Sun conference"
|
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] |
Where is Cameron Beckman's rank on the money list?
|
SELECT "Money list rank" FROM table_4213 WHERE "Player" = 'Cameron Beckman'
|
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What is the average percentage of total area when the percentage of marine area is more than 39.3 and territorial waters area is less than 2,788,349?
|
SELECT AVG("Percentage of total area (forEEZ)") FROM table_42101 WHERE "Percentage of marine area (forEEZ)" > '39.3' AND "Area (km\u00b2) Territorial waters" < '2,788,349'
|
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3459,
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] |
Is wireless combo keyboard and mouse support part of the hub base class?
|
SELECT hub_base_class FROM table_1153898_1 WHERE comparisons = "Wireless Combo keyboard and mouse support"
|
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find questions posted on a date.
|
SELECT Id AS "post_link", CreationDate FROM Posts WHERE CreationDate >= '02.07.2018' AND CreationDate <= '02.08.2018'
|
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] |
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5357,
21582,
10430,
19841,
705,
2999,
13,
2919,
13,
7908,
6
] |
what was the score previous to the benin opponent ?
|
SELECT "score" FROM table_203_504 WHERE "date" < (SELECT "date" FROM table_203_504 WHERE "opponent" = 'benin') ORDER BY "date" DESC LIMIT 1
|
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Is MEDCHEM 533 available for me in the Spring-Summer ?
|
SELECT COUNT(*) > 0 FROM (SELECT course_id FROM student_record WHERE earn_credit = 'Y' AND student_id = 1) AS DERIVED_TABLEalias0, course AS COURSEalias0, course_offering AS COURSE_OFFERINGalias0, semester AS SEMESTERalias0 WHERE COURSEalias0.course_id = COURSE_OFFERINGalias0.course_id AND NOT COURSEalias0.course_id IN (DERIVED_TABLEalias0.course_id) AND NOT COURSEalias0.course_id IN (SELECT DISTINCT COURSE_PREREQUISITEalias0.course_id FROM course_prerequisite AS COURSE_PREREQUISITEalias0 WHERE NOT COURSE_PREREQUISITEalias0.pre_course_id IN (DERIVED_TABLEalias0.course_id)) AND COURSEalias0.department = 'MEDCHEM' AND COURSEalias0.number = 533 AND SEMESTERalias0.semester = 'Spring-Summer' AND SEMESTERalias0.semester_id = COURSE_OFFERINGalias0.semester AND SEMESTERalias0.year = 2016
|
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find a transcontinental flight on AA from BOSTON to SAN FRANCISCO that makes a stopover in DENVER
|
SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, airport_service AS AIRPORT_SERVICE_2, city AS CITY_0, city AS CITY_1, city AS CITY_2, flight, flight_stop WHERE ((CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'SAN FRANCISCO' AND CITY_2.city_code = AIRPORT_SERVICE_2.city_code AND CITY_2.city_name = 'DENVER' AND flight_stop.stop_airport = AIRPORT_SERVICE_2.airport_code AND flight.flight_id = flight_stop.flight_id AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'BOSTON' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code) AND flight.airline_code = 'AA'
|
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5474,
11,
5474,
62,
11338,
33411,
14808,
34,
9050
] |
give me the number of patients whose ethnicity is american indian/alaska native and admission year is less than 2144?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.ethnicity = "AMERICAN INDIAN/ALASKA NATIVE" AND demographic.admityear < "2144"
|
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324,
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] |
What is the lowest value for 1990, when the Region is East Asia (10 Economies), and when 1960 has a value less than 12.6?
|
SELECT MIN(1990) FROM table_name_54 WHERE region = "east asia (10 economies)" AND 1960 < 12.6
|
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16533,
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5357,
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1279,
1105,
13,
21
] |
What is the City / State, when Series is ATCC Round 3?
|
SELECT "City / State" FROM table_9363 WHERE "Series" = 'atcc round 3'
|
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] |
What is the train name of the rail with a daily frequency and a destination of Rajgir?
|
SELECT "Train Name" FROM table_37383 WHERE "Frequency (inbound/outbound)" = 'daily' AND "Destination" = 'rajgir'
|
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] |
which team did the most laps according to this chart ?
|
SELECT "team" FROM table_203_366 ORDER BY "laps" DESC LIMIT 1
|
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27564,
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352
] |
What was the number of season number entries that had US Viewers of 12.30 million?
|
SELECT COUNT("Season no.") FROM table_24601 WHERE "U.S. Viewers (millions)" = '12.30'
|
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] |
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13,
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6
] |
Just give me a histogram that X is the details of the organization and the Y-axis is the number of things they own, show by the x-axis in desc.
|
SELECT organization_details, COUNT(organization_details) FROM Things AS T1 JOIN Organizations AS T2 ON T1.organization_id = T2.organization_id GROUP BY organization_details ORDER BY organization_details DESC
|
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11050,
4009,
62,
36604,
22196,
34
] |
Year-to-year ratio of single-word-requests questions.
|
SELECT YEAR(p.CreationDate), SUM(CASE WHEN NOT t.Id IS NULL THEN 1 ELSE 0 END) / CAST(COUNT(p.Id) AS FLOAT) AS "ratio of id requests" FROM Posts AS p JOIN PostTags AS pt ON pt.PostId = p.Id LEFT OUTER JOIN Tags AS t ON t.Id = pt.TagId AND t.TagName = 'single-word-requests' WHERE p.PostTypeId = 1 GROUP BY YEAR(p.CreationDate)
|
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796,
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] |
What date has 2:59 as the time?
|
SELECT "Date" FROM table_39167 WHERE "Time" = '2:59'
|
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] |
major depression in past 12 months ( dsm _ iv criteria ) , major mental illness such as schizophrenia, or recent ( in past 12 months ) alcohol or substance abuse.
|
SELECT * FROM table_train_123 WHERE major_depression = 1 OR (major_mental_illness = 1 OR schizophrenia = 1 OR alcohol_abuse = 1 OR substance_dependence = 1)
|
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1,
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] |
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352,
6375,
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62,
67,
15091,
796,
352,
8
] |
Which team drafted a player from HC Slavia Praha (Czechoslovakia)?
|
SELECT nhl_team FROM table_2850912_10 WHERE college_junior_club_team = "HC Slavia Praha (Czechoslovakia)"
|
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3099,
357,
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15356,
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21897,
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] |
calculate the number of patients diagnosed with cerebral subdural hematoma - secondary to trauma during this year.
|
SELECT COUNT(DISTINCT patient.uniquepid) FROM patient WHERE patient.patientunitstayid IN (SELECT diagnosis.patientunitstayid FROM diagnosis WHERE diagnosis.diagnosisname = 'cerebral subdural hematoma - secondary to trauma' AND DATETIME(diagnosis.diagnosistime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year'))
|
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What is the location for the win against Johan Mparmpagiannis?
|
SELECT "Location" FROM table_54174 WHERE "Result" = 'win' AND "Opponent" = 'johan mparmpagiannis'
|
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] |
What is the English title of the film Directed by Jayme Monjardim?
|
SELECT "English title" FROM table_38922 WHERE "Director" = 'jayme monjardim'
|
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] |
What is Pos., when Player is 'Nigel De Jong'?
|
SELECT pos FROM table_name_33 WHERE player = "nigel de jong"
|
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] |
Who were the candidates when Noah M. Mason was incumbent?
|
SELECT candidates FROM table_1342249_13 WHERE incumbent = "Noah M. Mason"
|
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] |
what is the drug patient 64136 was prescribed for within 2 days after being diagnosed with chr pulmon heart dis nec when they visited the hospital last time?
|
SELECT t2.drug FROM (SELECT admissions.subject_id, diagnoses_icd.charttime FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE admissions.subject_id = 64136 AND diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'chr pulmon heart dis nec') AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime DESC LIMIT 1) AS t1 JOIN (SELECT admissions.subject_id, prescriptions.drug, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE admissions.subject_id = 64136 AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime DESC LIMIT 1) AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.startdate AND DATETIME(t2.startdate) BETWEEN DATETIME(t1.charttime) AND DATETIME(t1.charttime, '+2 day')
|
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What bran is the callsign dytc-fm?
|
SELECT branding FROM table_2610582_7 WHERE callsign = "DYTC-FM"
|
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796,
366,
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12,
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1
] |
provide the number of patients whose primary disease is gastrointestinal bleed and days of hospital stay is greater than 2?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "GASTROINTESTINAL BLEED" AND demographic.days_stay > "2"
|
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Who's the wrestler with an elimination of 1?
|
SELECT wrestler FROM table_name_6 WHERE elimination = "1"
|
[
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262,
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281,
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30,
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16034,
3084,
62,
3672,
62,
21,
33411,
21472,
796,
366,
16,
1
] |
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1,
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33411,
21472,
796,
366,
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] |
hba1c < 10 %
|
SELECT * FROM table_dev_10 WHERE hba1c < 10
|
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71,
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66,
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1635,
16034,
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62,
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62,
940,
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289,
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16,
66,
1279,
838
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62,
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62,
940,
33411,
289,
7012,
16,
66,
1279,
838
] |
what is the total number of patients admitted to emergency who had a hospital stay of more than 14 days?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_type = "EMERGENCY" AND demographic.days_stay > "14"
|
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318,
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366,
1415,
1
] |
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1,
5357,
16728,
13,
12545,
62,
31712,
1875,
366,
1415,
1
] |
give me the number of patients whose admission location is emergency room admit and drug code is prav10?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admission_location = "EMERGENCY ROOM ADMIT" AND prescriptions.formulary_drug_cd = "PRAV10"
|
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2563,
2438,
318,
279,
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21479,
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34092,
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687,
377,
560,
62,
30349,
62,
10210,
796,
366,
47,
3861,
53,
940,
1
] |
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62,
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796,
366,
47,
3861,
53,
940,
1
] |
count the number of patients whose age is less than 62 and lab test category is blood gas?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.age < "62" AND lab."CATEGORY" = "Blood Gas"
|
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1
] |
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1,
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21659,
14345,
1
] |
What is the total grid with laps less than 2?
|
SELECT SUM(grid) FROM table_name_78 WHERE laps < 2
|
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8,
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62,
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3695,
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362
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1,
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] |
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7,
25928,
8,
16034,
3084,
62,
3672,
62,
3695,
33411,
24590,
1279,
362
] |
What is Coverage (Transmitter Site), when Power (kW) is '10kW', and when Callsign is 'DYFX-TV'?
|
SELECT coverage__transmitter_site_ FROM table_name_69 WHERE power__kw_ = "10kw" AND callsign = "dyfx-tv"
|
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1
] |
What was the home team score at junction oval?
|
SELECT "Home team score" FROM table_58064 WHERE "Venue" = 'junction oval'
|
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37522,
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1,
796,
705,
73,
4575,
41186,
6
] |
What was the highest number of wins for any team?
|
SELECT MAX(wins) FROM table_18018214_3
|
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1415,
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18
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8,
16034,
3084,
62,
1507,
486,
6469,
1415,
62,
18
] |
What's the original title of the nomination title, 'brecha en el silencio'?
|
SELECT "Original title" FROM table_60579 WHERE "Film title used in nomination" = 'brecha en el silencio'
|
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705,
4679,
11693,
551,
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3313,
12685,
952,
6
] |
in this month, have gabapentin 300 mg po caps, potassium chloride 20 meq ud liq or amiodarone hcl 900 mg/18ml iv soln been prescribed for patient 016-18575?
|
SELECT COUNT(*) > 0 FROM medication WHERE medication.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '016-18575')) AND medication.drugname IN ('gabapentin 300 mg po caps', 'potassium chloride 20 meq ud liq', 'amiodarone hcl 900 mg/18ml iv soln') AND DATETIME(medication.drugstarttime, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-0 month')
|
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5827,
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26029,
13948,
10057,
31712,
312,
16034,
5827,
33411,
5827,
13,
403,
1557
] |
What is the score at the 2010 FIFA World Cup Qualification that results in a win?
|
SELECT "Score" FROM table_47022 WHERE "Competition" = '2010 fifa world cup qualification' AND "Result" = 'win'
|
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366,
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1,
796,
705,
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6
] |
What was the Opponents in Final during the match with a Score in Final of 6 4, 3 6, 5 7?
|
SELECT "Opponents in Final" FROM table_5003 WHERE "Score in Final" = '6–4, 3–6, 5–7'
|
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11,
513,
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642,
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22,
6
] |
What year was stage 8 reached?
|
SELECT year FROM table_name_54 WHERE stages = "8"
|
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] |
what is the right ascension (j2000) when the ngc number is 3576?
|
SELECT "Right ascension ( J2000 )" FROM table_58455 WHERE "NGC number" = '3576'
|
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] |
Return a bar chart on what is the total revenue of each manufacturer?
|
SELECT Name, SUM(Revenue) FROM Manufacturers GROUP BY Name
|
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4080,
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] |
what is patient 62977's first visit to the hospital in 2101?
|
SELECT admissions.admittime FROM admissions WHERE admissions.subject_id = 62977 AND STRFTIME('%y', admissions.admittime) = '2101' ORDER BY admissions.admittime LIMIT 1
|
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] |
who had the high rebounds when the team was @ toronto?
|
SELECT high_rebounds FROM table_name_9 WHERE team = "@ toronto"
|
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] |
Who was the writer of episode 15?
|
SELECT "Writer(s)" FROM table_28118 WHERE "Season #" = '15'
|
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Name the date for score l 89 91 (ot)
|
SELECT "Date" FROM table_21461 WHERE "Score" = 'L 89–91 (OT)'
|
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] |
In which district is the incumbent a republican first elected in 1998?
|
SELECT "District" FROM table_62132 WHERE "Party" = 'republican' AND "First elected" = '1998'
|
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366,
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796,
705,
21113,
6
] |
What was the number of the game against Charlotte?
|
SELECT SUM(game) FROM table_name_63 WHERE team = "charlotte"
|
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354,
7063,
11404,
1
] |
Which school was in Toronto in 2001-02?
|
SELECT school_club_team FROM table_10015132_14 WHERE years_in_toronto = "2001-02"
|
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62,
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] |
On how many different dates was event 1 Suspension Bridge?
|
SELECT COUNT("Air Date") FROM table_21433 WHERE "Event 1" = 'Suspension Bridge'
|
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366,
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33411,
366,
9237,
352,
1,
796,
705,
50,
17723,
3004,
10290,
6
] |
Which Date has an Away team score of 16.13 (109)?
|
SELECT "Date" FROM table_51888 WHERE "Away team score" = '16.13 (109)'
|
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1,
796,
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1433,
13,
1485,
357,
14454,
33047
] |
in 2100, what are the five most commonly given procedures for patients with 30s?
|
SELECT d_icd_procedures.short_title FROM d_icd_procedures WHERE d_icd_procedures.icd9_code IN (SELECT t1.icd9_code FROM (SELECT procedures_icd.icd9_code, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM procedures_icd WHERE procedures_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.age BETWEEN 30 AND 39) AND STRFTIME('%y', procedures_icd.charttime) = '2100' GROUP BY procedures_icd.icd9_code) AS t1 WHERE t1.c1 <= 5)
|
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327,
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7,
28104,
22196,
34,
8,
7054,
269,
16
] |
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12532,
1137,
11050,
327,
28270,
7,
28104,
22196,
34,
8,
7054,
269,
16
] |
What is every value on Thursday August 25 for rank 3?
|
SELECT thurs_25_aug FROM table_30058355_3 WHERE rank = 3
|
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2061,
318,
790,
1988,
319,
3635,
2932,
1679,
329,
4279,
513,
30,
46506,
294,
1834,
62,
1495,
62,
7493,
16034,
3084,
62,
6200,
3365,
28567,
62,
18,
33411,
4279,
796,
513
] |
[
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] |
[
2061,
318,
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1988,
319,
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2932,
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329,
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294,
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62,
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62,
7493,
16034,
3084,
62,
6200,
3365,
28567,
62,
18,
33411,
4279,
796,
513
] |
give me the short title of diagnoses for diagnoses icd9 code e9301.
|
SELECT diagnoses.short_title FROM diagnoses WHERE diagnoses.icd9_code = "E9301"
|
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26535,
502,
262,
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3670,
286,
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329,
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33411,
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291,
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24,
62,
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366,
36,
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486,
1
] |
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1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
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[
26535,
502,
262,
1790,
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286,
40567,
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33411,
40567,
13,
291,
67,
24,
62,
8189,
796,
366,
36,
6052,
486,
1
] |
What provinces were formed from New Munster?
|
SELECT province FROM table_275023_1 WHERE formed_from = "New Munster"
|
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2061,
17812,
547,
7042,
422,
968,
12107,
1706,
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1120,
1954,
62,
16,
33411,
7042,
62,
6738,
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366,
3791,
12107,
1706,
1
] |
[
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] |
[
2061,
17812,
547,
7042,
422,
968,
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1706,
30,
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8473,
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3084,
62,
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1120,
1954,
62,
16,
33411,
7042,
62,
6738,
796,
366,
3791,
12107,
1706,
1
] |
When did the duchess, who was married to philippe, die?
|
SELECT death FROM table_name_56 WHERE spouse = "philippe"
|
[
2215,
750,
262,
288,
1229,
33979,
11,
508,
373,
6405,
284,
872,
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4656,
30,
46506,
1918,
16034,
3084,
62,
3672,
62,
3980,
33411,
16731,
796,
366,
746,
8908,
68,
1
] |
[
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] |
[
2215,
750,
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11,
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3084,
62,
3672,
62,
3980,
33411,
16731,
796,
366,
746,
8908,
68,
1
] |
what is average age of patients whose primary disease is cerebral aneurysm/sda and age is greater than or equal to 54?
|
SELECT AVG(demographic.age) FROM demographic WHERE demographic.diagnosis = "CEREBRAL ANEURYSM/SDA" AND demographic.age >= "54"
|
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10919,
318,
2811,
2479,
286,
3871,
3025,
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281,
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893,
76,
14,
82,
6814,
290,
2479,
318,
3744,
621,
393,
4961,
284,
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30,
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35224,
7,
9536,
6826,
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496,
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11473,
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3537,
36,
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56,
12310,
14,
50,
5631,
1,
5357,
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13,
496,
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366,
4051,
1
] |
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1,
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1,
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1,
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] |
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56,
12310,
14,
50,
5631,
1,
5357,
16728,
13,
496,
18189,
366,
4051,
1
] |
How many different sizes (in acres) are noted for Rathcoola East?
|
SELECT COUNT(area__acres__) FROM table_30120566_1 WHERE townland = "Rathcoola East"
|
[
2437,
867,
1180,
10620,
357,
259,
16051,
8,
389,
4367,
329,
26494,
66,
10513,
3687,
30,
46506,
327,
28270,
7,
20337,
834,
330,
411,
834,
8,
16034,
3084,
62,
18938,
21261,
2791,
62,
16,
33411,
3240,
1044,
796,
366,
49,
776,
66,
10513,
3687,
1
] |
[
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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1,
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1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] |
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2791,
62,
16,
33411,
3240,
1044,
796,
366,
49,
776,
66,
10513,
3687,
1
] |
what's the pts with team being kopron team scot
|
SELECT "Pts" FROM table_19144 WHERE "Team" = 'Kopron Team Scot'
|
[
10919,
338,
262,
43344,
351,
1074,
852,
479,
404,
1313,
1074,
629,
313,
46506,
366,
47,
912,
1,
16034,
3084,
62,
1129,
18444,
33411,
366,
15592,
1,
796,
705,
42,
404,
1313,
4816,
7130,
6
] |
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1,
1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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] |
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366,
15592,
1,
796,
705,
42,
404,
1313,
4816,
7130,
6
] |
For all employees who have the letters D or S in their first name, give me the comparison about the amount of job_id over the job_id , and group by attribute job_id, and sort in asc by the the number of job id please.
|
SELECT JOB_ID, COUNT(JOB_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' GROUP BY JOB_ID ORDER BY COUNT(JOB_ID)
|
[
1890,
477,
4409,
508,
423,
262,
7475,
360,
393,
311,
287,
511,
717,
1438,
11,
1577,
502,
262,
7208,
546,
262,
2033,
286,
1693,
62,
312,
625,
262,
1693,
62,
312,
837,
290,
1448,
416,
11688,
1693,
62,
312,
11,
290,
3297,
287,
10570,
416,
262,
262,
1271,
286,
1693,
4686,
3387,
13,
46506,
449,
9864,
62,
2389,
11,
327,
28270,
7,
41,
9864,
62,
2389,
8,
16034,
4409,
33411,
31328,
62,
20608,
34178,
705,
4,
35,
4,
6,
6375,
31328,
62,
20608,
34178,
705,
4,
50,
4,
6,
44441,
11050,
449,
9864,
62,
2389,
38678,
11050,
327,
28270,
7
] |
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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1,
1,
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] |
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423,
262,
7475,
360,
393,
311,
287,
511,
717,
1438,
11,
1577,
502,
262,
7208,
546,
262,
2033,
286,
1693,
62,
312,
625,
262,
1693,
62,
312,
837,
290,
1448,
416,
11688,
1693,
62,
312,
11,
290,
3297,
287,
10570,
416,
262,
262,
1271,
286,
1693,
4686,
3387,
13,
46506,
449,
9864,
62,
2389,
11,
327,
28270,
7,
41,
9864,
62,
2389,
8,
16034,
4409,
33411,
31328,
62,
20608,
34178,
705,
4,
35,
4,
6,
6375,
31328,
62,
20608,
34178,
705,
4,
50,
4,
6,
44441,
11050,
449,
9864,
62,
2389,
38678,
11050,
327,
28270,
7
] |
With a Type of 4-6-4t, what is the sum Withdrawn?
|
SELECT SUM(withdrawn) FROM table_name_43 WHERE type = "4-6-4t"
|
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3152,
257,
5994,
286,
604,
12,
21,
12,
19,
83,
11,
644,
318,
262,
2160,
2080,
41549,
30,
46506,
35683,
7,
4480,
41549,
8,
16034,
3084,
62,
3672,
62,
3559,
33411,
2099,
796,
366,
19,
12,
21,
12,
19,
83,
1
] |
[
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] |
[
3152,
257,
5994,
286,
604,
12,
21,
12,
19,
83,
11,
644,
318,
262,
2160,
2080,
41549,
30,
46506,
35683,
7,
4480,
41549,
8,
16034,
3084,
62,
3672,
62,
3559,
33411,
2099,
796,
366,
19,
12,
21,
12,
19,
83,
1
] |
For all employees who have the letters D or S in their first name, visualize a bar chart about the distribution of job_id and the average of department_id , and group by attribute job_id, and display in desc by the bar.
|
SELECT JOB_ID, AVG(DEPARTMENT_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' GROUP BY JOB_ID ORDER BY JOB_ID DESC
|
[
1890,
477,
4409,
508,
423,
262,
7475,
360,
393,
311,
287,
511,
717,
1438,
11,
38350,
257,
2318,
8262,
546,
262,
6082,
286,
1693,
62,
312,
290,
262,
2811,
286,
5011,
62,
312,
837,
290,
1448,
416,
11688,
1693,
62,
312,
11,
290,
3359,
287,
1715,
416,
262,
2318,
13,
46506,
449,
9864,
62,
2389,
11,
35224,
7,
7206,
30709,
10979,
62,
2389,
8,
16034,
4409,
33411,
31328,
62,
20608,
34178,
705,
4,
35,
4,
6,
6375,
31328,
62,
20608,
34178,
705,
4,
50,
4,
6,
44441,
11050,
449,
9864,
62,
2389,
38678,
11050,
449,
9864,
62,
2389,
22196,
34
] |
[
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] |
[
1890,
477,
4409,
508,
423,
262,
7475,
360,
393,
311,
287,
511,
717,
1438,
11,
38350,
257,
2318,
8262,
546,
262,
6082,
286,
1693,
62,
312,
290,
262,
2811,
286,
5011,
62,
312,
837,
290,
1448,
416,
11688,
1693,
62,
312,
11,
290,
3359,
287,
1715,
416,
262,
2318,
13,
46506,
449,
9864,
62,
2389,
11,
35224,
7,
7206,
30709,
10979,
62,
2389,
8,
16034,
4409,
33411,
31328,
62,
20608,
34178,
705,
4,
35,
4,
6,
6375,
31328,
62,
20608,
34178,
705,
4,
50,
4,
6,
44441,
11050,
449,
9864,
62,
2389,
38678,
11050,
449,
9864,
62,
2389,
22196,
34
] |
top 50 users in dhaka Bangladesh.
|
SELECT ROW_NUMBER() OVER (ORDER BY Reputation DESC) AS "#", Id AS "user_link", Reputation FROM Users WHERE LOWER(Location) LIKE '%dhaka%' OR LOWER(Location) LIKE '%bangladesh%' OR UPPER(Location) LIKE '%bd' ORDER BY Reputation DESC LIMIT 50
|
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4852,
2026,
2985,
287,
34590,
8130,
19483,
13,
46506,
371,
3913,
62,
41359,
13246,
3419,
28729,
357,
12532,
1137,
11050,
1432,
7094,
22196,
34,
8,
7054,
25113,
1600,
5121,
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366,
7220,
62,
8726,
1600,
1432,
7094,
16034,
18987,
33411,
406,
36048,
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14749,
8,
34178,
705,
4,
34985,
8130,
4,
6,
6375,
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36048,
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14749,
8,
34178,
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36668,
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13410,
4,
6,
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471,
10246,
1137,
7,
14749,
8,
34178,
705,
4,
17457,
6,
38678,
11050,
1432,
7094,
22196,
34,
27564,
2043,
2026
] |
[
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] |
[
4852,
2026,
2985,
287,
34590,
8130,
19483,
13,
46506,
371,
3913,
62,
41359,
13246,
3419,
28729,
357,
12532,
1137,
11050,
1432,
7094,
22196,
34,
8,
7054,
25113,
1600,
5121,
7054,
366,
7220,
62,
8726,
1600,
1432,
7094,
16034,
18987,
33411,
406,
36048,
7,
14749,
8,
34178,
705,
4,
34985,
8130,
4,
6,
6375,
406,
36048,
7,
14749,
8,
34178,
705,
4,
36668,
75,
13410,
4,
6,
6375,
471,
10246,
1137,
7,
14749,
8,
34178,
705,
4,
17457,
6,
38678,
11050,
1432,
7094,
22196,
34,
27564,
2043,
2026
] |
Avg/G smaller than 225.5, and a GP-GS of 8 0 has what name?
|
SELECT "Name" FROM table_79999 WHERE "Avg/G" < '225.5' AND "GP-GS" = '8–0'
|
[
48997,
14,
38,
4833,
621,
18500,
13,
20,
11,
290,
257,
14714,
12,
14313,
286,
807,
657,
468,
644,
1438,
30,
46506,
366,
5376,
1,
16034,
3084,
62,
22,
24214,
33411,
366,
48997,
14,
38,
1,
1279,
705,
18182,
13,
20,
6,
5357,
366,
16960,
12,
14313,
1,
796,
705,
23,
1906,
15,
6
] |
[
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] |
[
48997,
14,
38,
4833,
621,
18500,
13,
20,
11,
290,
257,
14714,
12,
14313,
286,
807,
657,
468,
644,
1438,
30,
46506,
366,
5376,
1,
16034,
3084,
62,
22,
24214,
33411,
366,
48997,
14,
38,
1,
1279,
705,
18182,
13,
20,
6,
5357,
366,
16960,
12,
14313,
1,
796,
705,
23,
1906,
15,
6
] |
What other courses , besides 129 , does Prof. Ruth Caston teach ?
|
SELECT DISTINCT course.department, course.name, course.number FROM course, course_offering, instructor, offering_instructor WHERE course.course_id = course_offering.course_id AND course.number <> 129 AND instructor.name LIKE '%Ruth Caston%' AND offering_instructor.instructor_id = instructor.instructor_id AND offering_instructor.offering_id = course_offering.offering_id
|
[
2061,
584,
10902,
837,
13769,
20248,
837,
857,
4415,
13,
22132,
5833,
261,
4545,
5633,
46506,
360,
8808,
1268,
4177,
1781,
13,
10378,
1823,
11,
1781,
13,
3672,
11,
1781,
13,
17618,
16034,
1781,
11,
1781,
62,
2364,
1586,
11,
21187,
11,
6011,
62,
259,
7249,
273,
33411,
1781,
13,
17319,
62,
312,
796,
1781,
62,
2364,
1586,
13,
17319,
62,
312,
5357,
1781,
13,
17618,
1279,
29,
20248,
5357,
21187,
13,
3672,
34178,
705,
4,
49,
1071,
5833,
261,
4,
6,
5357,
6011,
62,
259,
7249,
273,
13,
259,
7249,
273,
62,
312,
796,
21187,
13,
259,
7249,
273
] |
[
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] |
[
2061,
584,
10902,
837,
13769,
20248,
837,
857,
4415,
13,
22132,
5833,
261,
4545,
5633,
46506,
360,
8808,
1268,
4177,
1781,
13,
10378,
1823,
11,
1781,
13,
3672,
11,
1781,
13,
17618,
16034,
1781,
11,
1781,
62,
2364,
1586,
11,
21187,
11,
6011,
62,
259,
7249,
273,
33411,
1781,
13,
17319,
62,
312,
796,
1781,
62,
2364,
1586,
13,
17319,
62,
312,
5357,
1781,
13,
17618,
1279,
29,
20248,
5357,
21187,
13,
3672,
34178,
705,
4,
49,
1071,
5833,
261,
4,
6,
5357,
6011,
62,
259,
7249,
273,
13,
259,
7249,
273,
62,
312,
796,
21187,
13,
259,
7249,
273
] |
What are the lowest points with a Chassis of zakspeed 841, and a Year smaller than 1985?
|
SELECT MIN("Points") FROM table_67621 WHERE "Chassis" = 'zakspeed 841' AND "Year" < '1985'
|
[
2061,
389,
262,
9016,
2173,
351,
257,
609,
20297,
286,
1976,
461,
12287,
807,
3901,
11,
290,
257,
6280,
4833,
621,
12863,
30,
46506,
20625,
7203,
40710,
4943,
16034,
3084,
62,
42548,
2481,
33411,
366,
1925,
20297,
1,
796,
705,
89,
461,
12287,
807,
3901,
6,
5357,
366,
17688,
1,
1279,
705,
29110,
6
] |
[
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] |
[
2061,
389,
262,
9016,
2173,
351,
257,
609,
20297,
286,
1976,
461,
12287,
807,
3901,
11,
290,
257,
6280,
4833,
621,
12863,
30,
46506,
20625,
7203,
40710,
4943,
16034,
3084,
62,
42548,
2481,
33411,
366,
1925,
20297,
1,
796,
705,
89,
461,
12287,
807,
3901,
6,
5357,
366,
17688,
1,
1279,
705,
29110,
6
] |
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