diff --git "a/custom6.txt" "b/custom6.txt" new file mode 100644--- /dev/null +++ "b/custom6.txt" @@ -0,0 +1,2225 @@ + + + +value_1 + + +This is the value for the second parameter +that can span +multiple lines + + + + +SELECT count(*) FROM head WHERE age > 56; +SELECT name , born_state , age FROM head ORDER BY age; +SELECT creation , name , budget_in_billions FROM department; +SELECT max(budget_in_billions) , min(budget_in_billions) FROM department; +SELECT avg(num_employees) FROM department WHERE ranking BETWEEN 10 AND 15; +SELECT name FROM head WHERE born_state != 'California'; +SELECT DISTINCT T1.creation FROM department AS T1 JOIN management AS T2 ON T1.department_id = T2.department_id JOIN head AS T3 ON T2.head_id = T3.head_id WHERE T3.born_state = 'Alabama'; +SELECT born_state FROM head GROUP BY born_state HAVING count(*) >= 3; +SELECT creation FROM department GROUP BY creation ORDER BY count(*) DESC LIMIT 1; +SELECT T1.name , T1.num_employees FROM department AS T1 JOIN management AS T2 ON T1.department_id = T2.department_id WHERE T2.temporary_acting = 'Yes'; +SELECT count(DISTINCT temporary_acting) FROM management; +SELECT DISTINCT T1.age FROM management AS T2 JOIN head AS T1 ON T1.head_id = T2.head_id WHERE T2.temporary_acting = 'Yes'; +SELECT T3.born_state FROM department AS T1 JOIN management AS T2 ON T1.department_id = T2.department_id JOIN head AS T3 ON T2.head_id = T3.head_id WHERE T1.name = 'Treasury' INTERSECT SELECT T3.born_state FROM department AS T1 JOIN management AS T2 ON T1.department_id = T2.department_id JOIN head AS T3 ON T2.head_id = T3.head_id WHERE T1.name = 'Homeland Security'; +SELECT T1.department_id , T1.name , count(*) FROM management AS T2 JOIN department AS T1 ON T1.department_id = T2.department_id GROUP BY T1.department_id HAVING count(*) > 1; +SELECT head_id , name FROM head WHERE name LIKE '%Ha%'; +SELECT count(*) FROM farm; +SELECT Total_Horses FROM farm ORDER BY Total_Horses ASC; +SELECT Hosts FROM farm_competition WHERE Theme != 'Aliens'; +SELECT Theme FROM farm_competition ORDER BY YEAR ASC; +SELECT avg(Working_Horses) FROM farm WHERE Total_Horses > 5000; +SELECT max(Cows) , min(Cows) FROM farm; +SELECT count(DISTINCT Status) FROM city; +SELECT Official_Name FROM city ORDER BY Population DESC; +SELECT Official_Name , Status FROM city ORDER BY Population DESC LIMIT 1; +SELECT T2.Year , T1.Official_Name FROM city AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_city_ID; +SELECT T1.Official_Name FROM city AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_city_ID GROUP BY T2.Host_city_ID HAVING COUNT(*) > 1; +SELECT T1.Status FROM city AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_city_ID GROUP BY T2.Host_city_ID ORDER BY COUNT(*) DESC LIMIT 1; +SELECT T2.Theme FROM city AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_city_ID WHERE T1.Population > 1000; +SELECT Status , avg(Population) FROM city GROUP BY Status; +SELECT Status FROM city GROUP BY Status ORDER BY COUNT(*) ASC; +SELECT Status FROM city GROUP BY Status ORDER BY COUNT(*) DESC LIMIT 1; +SELECT Official_Name FROM city WHERE City_ID NOT IN (SELECT Host_city_ID FROM farm_competition); +SELECT Status FROM city WHERE Population > 1500 INTERSECT SELECT Status FROM city WHERE Population < 500; +SELECT Official_Name FROM city WHERE Population > 1500 OR Population < 500; +SELECT Census_Ranking FROM city WHERE Status != "Village"; +SELECT T1.course_name FROM courses AS T1 JOIN student_course_registrations AS T2 ON T1.course_id = T2.course_Id GROUP BY T1.course_id ORDER BY count(*) DESC LIMIT 1; +SELECT student_id FROM student_course_registrations GROUP BY student_id ORDER BY count(*) LIMIT 1; +SELECT T2.first_name , T2.last_name FROM candidates AS T1 JOIN people AS T2 ON T1.candidate_id = T2.person_id; +SELECT student_id FROM students WHERE student_id NOT IN (SELECT student_id FROM student_course_attendance); +SELECT student_id FROM student_course_attendance; +SELECT T1.student_id , T2.course_name FROM student_course_registrations AS T1 JOIN courses AS T2 ON T1.course_id = T2.course_id; +SELECT T2.student_details FROM student_course_registrations AS T1 JOIN students AS T2 ON T1.student_id = T2.student_id ORDER BY T1.registration_date DESC LIMIT 1; +SELECT count(*) FROM courses AS T1 JOIN student_course_attendance AS T2 ON T1.course_id = T2.course_id WHERE T1.course_name = "English"; +SELECT count(*) FROM courses AS T1 JOIN student_course_attendance AS T2 ON T1.course_id = T2.course_id WHERE T2.student_id = 171; +SELECT T2.candidate_id FROM people AS T1 JOIN candidates AS T2 ON T1.person_id = T2.candidate_id WHERE T1.email_address = "stanley.monahan@example.org"; +SELECT candidate_id FROM candidate_assessments ORDER BY assessment_date DESC LIMIT 1; +SELECT T1.student_details FROM students AS T1 JOIN student_course_registrations AS T2 ON T1.student_id = T2.student_id GROUP BY T1.student_id ORDER BY count(*) DESC LIMIT 1; +SELECT T1.student_id , count(*) FROM students AS T1 JOIN student_course_registrations AS T2 ON T1.student_id = T2.student_id GROUP BY T1.student_id; +SELECT T3.course_name , count(*) FROM students AS T1 JOIN student_course_registrations AS T2 ON T1.student_id = T2.student_id JOIN courses AS T3 ON T2.course_id = T3.course_id GROUP BY T2.course_id; +SELECT candidate_id FROM candidate_assessments WHERE asessment_outcome_code = "Pass"; +SELECT T3.cell_mobile_number FROM candidates AS T1 JOIN candidate_assessments AS T2 ON T1.candidate_id = T2.candidate_id JOIN people AS T3 ON T1.candidate_id = T3.person_id WHERE T2.asessment_outcome_code = "Fail"; +SELECT student_id FROM student_course_attendance WHERE course_id = 301; +SELECT student_id FROM student_course_attendance WHERE course_id = 301 ORDER BY date_of_attendance DESC LIMIT 1; +SELECT DISTINCT T1.city FROM addresses AS T1 JOIN people_addresses AS T2 ON T1.address_id = T2.address_id; +SELECT DISTINCT T1.city FROM addresses AS T1 JOIN people_addresses AS T2 ON T1.address_id = T2.address_id JOIN students AS T3 ON T2.person_id = T3.student_id; +SELECT course_name FROM courses ORDER BY course_name; +SELECT first_name FROM people ORDER BY first_name; +SELECT student_id FROM student_course_registrations UNION SELECT student_id FROM student_course_attendance; +SELECT course_id FROM student_course_registrations WHERE student_id = 121 UNION SELECT course_id FROM student_course_attendance WHERE student_id = 121; +SELECT * FROM student_course_registrations WHERE student_id NOT IN (SELECT student_id FROM student_course_attendance); +SELECT T2.student_id FROM courses AS T1 JOIN student_course_registrations AS T2 ON T1.course_id = T2.course_id WHERE T1.course_name = "statistics" ORDER BY T2.registration_date; +SELECT T2.student_id FROM courses AS T1 JOIN student_course_attendance AS T2 ON T1.course_id = T2.course_id WHERE T1.course_name = "statistics" ORDER BY T2.date_of_attendance; +SELECT date FROM weather WHERE max_temperature_f > 85; +SELECT name FROM station WHERE lat < 37.5; +SELECT city , max(lat) FROM station GROUP BY city; +SELECT start_station_name , end_station_name FROM trip ORDER BY id LIMIT 3; +SELECT avg(lat) , avg(long) FROM station WHERE city = "San Jose"; +SELECT id FROM trip ORDER BY duration LIMIT 1; +SELECT sum(duration) , max(duration) FROM trip WHERE bike_id = 636; +SELECT zip_code , avg(mean_temperature_f) FROM weather WHERE date LIKE "8/%" GROUP BY zip_code; +SELECT count(DISTINCT bike_id) FROM trip; +SELECT count(DISTINCT city) FROM station; +SELECT COUNT(*) FROM station WHERE city = "Mountain View"; +SELECT DISTINCT T1.name FROM station AS T1 JOIN status AS T2 ON T1.id = T2.station_id WHERE T2.bikes_available = 7; +SELECT start_station_name , start_station_id FROM trip WHERE start_date LIKE "8/%" GROUP BY start_station_name ORDER BY COUNT(*) DESC LIMIT 1; +SELECT bike_id FROM trip WHERE zip_code = 94002 GROUP BY bike_id ORDER BY COUNT(*) DESC LIMIT 1; +SELECT COUNT(*) FROM weather WHERE mean_humidity > 50 AND mean_visibility_miles > 8; +SELECT T1.lat , T1.long , T1.city FROM station AS T1 JOIN trip AS T2 ON T1.id = T2.start_station_id ORDER BY T2.duration LIMIT 1; +SELECT id FROM station WHERE city = "San Francisco" INTERSECT SELECT station_id FROM status GROUP BY station_id HAVING avg(bikes_available) > 10; +SELECT T1.name , T1.id FROM station AS T1 JOIN status AS T2 ON T1.id = T2.station_id GROUP BY T2.station_id HAVING avg(T2.bikes_available) > 14 UNION SELECT name , id FROM station WHERE installation_date LIKE "12/%"; +SELECT cloud_cover FROM weather WHERE zip_code = 94107 GROUP BY cloud_cover ORDER BY COUNT (*) DESC LIMIT 3; +SELECT zip_code FROM weather GROUP BY zip_code ORDER BY avg(mean_sea_level_pressure_inches) LIMIT 1; +SELECT avg(bikes_available) FROM status WHERE station_id NOT IN (SELECT id FROM station WHERE city = "Palo Alto"); +SELECT avg(long) FROM station WHERE id NOT IN (SELECT station_id FROM status GROUP BY station_id HAVING max(bikes_available) > 10); +SELECT date , zip_code FROM weather WHERE max_temperature_f >= 80; +SELECT T1.id FROM trip AS T1 JOIN weather AS T2 ON T1.zip_code = T2.zip_code GROUP BY T2.zip_code HAVING avg(T2.mean_temperature_f) > 60; +SELECT zip_code , count(*) FROM weather WHERE max_wind_Speed_mph >= 25 GROUP BY zip_code; +SELECT date , zip_code FROM weather WHERE min_dew_point_f < (SELECT min(min_dew_point_f) FROM weather WHERE zip_code = 94107); +SELECT T1.id , T2.installation_date FROM trip AS T1 JOIN station AS T2 ON T1.end_station_id = T2.id; +SELECT T1.id FROM trip AS T1 JOIN station AS T2 ON T1.start_station_id = T2.id ORDER BY T2.dock_count DESC LIMIT 1; +SELECT count(*) FROM trip AS T1 JOIN station AS T2 ON T1.end_station_id = T2.id WHERE T2.city != "San Francisco"; +SELECT count(*) FROM trip AS T1 JOIN station AS T2 ON T1.end_station_id = T2.id WHERE T2.city != "San Francisco"; +SELECT date FROM weather WHERE zip_code = 94107 AND EVENTS != "Fog" AND EVENTS != "Rain"; +SELECT id FROM station WHERE lat > 37.4 EXCEPT SELECT station_id FROM status GROUP BY station_id HAVING min(bikes_available) < 7; +SELECT T1.name FROM station AS T1 JOIN status AS T2 ON T1.id = T2.station_id GROUP BY T2.station_id HAVING avg(bikes_available) > 10 EXCEPT SELECT name FROM station WHERE city = "San Jose"; +SELECT name , lat , city FROM station ORDER BY lat LIMIT 1; +SELECT date , mean_temperature_f , mean_humidity FROM weather ORDER BY max_gust_speed_mph DESC LIMIT 3; +SELECT city , COUNT(*) FROM station GROUP BY city HAVING COUNT(*) >= 15; +SELECT start_station_id , start_station_name FROM trip GROUP BY start_station_name HAVING COUNT(*) >= 200; +SELECT zip_code FROM weather GROUP BY zip_code HAVING avg(mean_visibility_miles) < 10; +SELECT city FROM station GROUP BY city ORDER BY max(lat) DESC; +SELECT date , cloud_cover FROM weather ORDER BY cloud_cover DESC LIMIT 5; +SELECT id , duration FROM trip ORDER BY duration DESC LIMIT 3; +SELECT T1.name , T1.long , avg(T2.duration) FROM station AS T1 JOIN trip AS T2 ON T1.id = T2.start_station_id GROUP BY T2.start_station_id; +SELECT T1.name , T1.lat , min(T2.duration) FROM station AS T1 JOIN trip AS T2 ON T1.id = T2.end_station_id GROUP BY T2.end_station_id; +SELECT DISTINCT start_station_name FROM trip WHERE duration < 100; +SELECT DISTINCT zip_code FROM weather EXCEPT SELECT DISTINCT zip_code FROM weather WHERE max_dew_point_f >= 70; +SELECT id FROM trip WHERE duration >= (SELECT avg(duration) FROM trip WHERE zip_code = 94103); +SELECT date FROM weather WHERE mean_sea_level_pressure_inches BETWEEN 30.3 AND 31; +SELECT date , max_temperature_f - min_temperature_f FROM weather ORDER BY max_temperature_f - min_temperature_f LIMIT 1; +SELECT DISTINCT T1.id , T1.name FROM station AS T1 JOIN status AS T2 ON T1.id = T2.station_id WHERE T2.bikes_available > 12; +SELECT zip_code FROM weather GROUP BY zip_code HAVING avg(mean_humidity) < 70 INTERSECT SELECT zip_code FROM trip GROUP BY zip_code HAVING count(*) >= 100; +SELECT name FROM station WHERE city = "Palo Alto" EXCEPT SELECT end_station_name FROM trip GROUP BY end_station_name HAVING count(*) > 100; +SELECT count(*) FROM station AS T1 JOIN trip AS T2 JOIN station AS T3 JOIN trip AS T4 ON T1.id = T2.start_station_id AND T2.id = T4.id AND T3.id = T4.end_station_id WHERE T1.city = "Mountain View" AND T3.city = "Palo Alto"; +SELECT avg(T1.lat) , avg(T1.long) FROM station AS T1 JOIN trip AS T2 ON T1.id = T2.start_station_id; +SELECT count(*) FROM book; +SELECT Writer FROM book ORDER BY Writer ASC; +SELECT Title FROM book ORDER BY Issues ASC; +SELECT Title FROM book WHERE Writer != "Elaine Lee"; +SELECT Title , Issues FROM book; +SELECT Publication_Date FROM publication ORDER BY Price DESC; +SELECT DISTINCT Publisher FROM publication WHERE Price > 5000000; +SELECT Publisher FROM publication ORDER BY Price DESC LIMIT 1; +SELECT Publication_Date FROM publication ORDER BY Price ASC LIMIT 3; +SELECT T1.Title , T2.Publication_Date FROM book AS T1 JOIN publication AS T2 ON T1.Book_ID = T2.Book_ID; +SELECT T1.Writer FROM book AS T1 JOIN publication AS T2 ON T1.Book_ID = T2.Book_ID WHERE T2.Price > 4000000; +SELECT T1.Title FROM book AS T1 JOIN publication AS T2 ON T1.Book_ID = T2.Book_ID ORDER BY T2.Price DESC; +SELECT Publisher FROM publication GROUP BY Publisher HAVING COUNT(*) > 1; +SELECT Publisher , COUNT(*) FROM publication GROUP BY Publisher; +SELECT Publication_Date FROM publication GROUP BY Publication_Date ORDER BY COUNT(*) DESC LIMIT 1; +SELECT Writer FROM book GROUP BY Writer HAVING COUNT(*) > 1; +SELECT Title FROM book WHERE Book_ID NOT IN (SELECT Book_ID FROM publication); +SELECT Publisher FROM publication WHERE Price > 10000000 INTERSECT SELECT Publisher FROM publication WHERE Price < 5000000; +SELECT COUNT (DISTINCT Publication_Date) FROM publication; +SELECT Price FROM publication WHERE Publisher = "Person" OR Publisher = "Wiley"; +SELECT count(*) FROM actor; +SELECT Name FROM actor ORDER BY Name ASC; +SELECT Character , Duration FROM actor; +SELECT Name FROM actor WHERE Age != 20; +SELECT Character FROM actor ORDER BY age DESC; +SELECT Duration FROM actor ORDER BY Age DESC LIMIT 1; +SELECT Name FROM musical WHERE Nominee = "Bob Fosse"; +SELECT DISTINCT Nominee FROM musical WHERE Award != "Tony Award"; +SELECT T1.Name , T2.Name FROM actor AS T1 JOIN musical AS T2 ON T1.Musical_ID = T2.Musical_ID; +SELECT T1.Name FROM actor AS T1 JOIN musical AS T2 ON T1.Musical_ID = T2.Musical_ID WHERE T2.Name = "The Phantom of the Opera"; +SELECT T1.Name FROM actor AS T1 JOIN musical AS T2 ON T1.Musical_ID = T2.Musical_ID ORDER BY T2.Year DESC; +SELECT T2.Name , COUNT(*) FROM actor AS T1 JOIN musical AS T2 ON T1.Musical_ID = T2.Musical_ID GROUP BY T1.Musical_ID; +SELECT T2.Name FROM actor AS T1 JOIN musical AS T2 ON T1.Musical_ID = T2.Musical_ID GROUP BY T1.Musical_ID HAVING COUNT(*) >= 3; +SELECT Nominee , COUNT(*) FROM musical GROUP BY Nominee; +SELECT Nominee FROM musical GROUP BY Nominee ORDER BY COUNT(*) DESC LIMIT 1; +SELECT RESULT FROM musical GROUP BY RESULT ORDER BY COUNT(*) DESC LIMIT 1; +SELECT Nominee FROM musical GROUP BY Nominee HAVING COUNT(*) > 2; +SELECT Name FROM musical WHERE Musical_ID NOT IN (SELECT Musical_ID FROM actor); +SELECT Nominee FROM musical WHERE Award = "Tony Award" INTERSECT SELECT Nominee FROM musical WHERE Award = "Drama Desk Award"; +SELECT Nominee FROM musical WHERE Award = "Tony Award" OR Award = "Cleavant Derricks"; +SELECT email FROM user_profiles WHERE name = 'Mary'; +SELECT partitionid FROM user_profiles WHERE name = 'Iron Man'; +SELECT count(*) FROM user_profiles; +SELECT count(*) FROM follows; +SELECT count(*) FROM follows GROUP BY f1; +SELECT count(*) FROM tweets; +SELECT count(DISTINCT UID) FROM tweets; +SELECT name , email FROM user_profiles WHERE name LIKE '%Swift%'; +SELECT name FROM user_profiles WHERE email LIKE '%superstar%' OR email LIKE '%edu%'; +SELECT text FROM tweets WHERE text LIKE '%intern%'; +SELECT name , email FROM user_profiles WHERE followers > 1000; +SELECT T1.name FROM user_profiles AS T1 JOIN follows AS T2 ON T1.uid = T2.f1 GROUP BY T2.f1 HAVING count(*) > (SELECT count(*) FROM user_profiles AS T1 JOIN follows AS T2 ON T1.uid = T2.f1 WHERE T1.name = 'Tyler Swift'); +SELECT T1.name , T1.email FROM user_profiles AS T1 JOIN follows AS T2 ON T1.uid = T2.f1 GROUP BY T2.f1 HAVING count(*) > 1; +SELECT T1.name FROM user_profiles AS T1 JOIN tweets AS T2 ON T1.uid = T2.uid GROUP BY T2.uid HAVING count(*) > 1; +SELECT T2.f1 FROM user_profiles AS T1 JOIN follows AS T2 ON T1.uid = T2.f2 WHERE T1.name = "Mary" INTERSECT SELECT T2.f1 FROM user_profiles AS T1 JOIN follows AS T2 ON T1.uid = T2.f2 WHERE T1.name = "Susan"; +SELECT T2.f1 FROM user_profiles AS T1 JOIN follows AS T2 ON T1.uid = T2.f2 WHERE T1.name = "Mary" OR T1.name = "Susan"; +SELECT name FROM user_profiles ORDER BY followers DESC LIMIT 1; +SELECT name , email FROM user_profiles ORDER BY followers LIMIT 1; +SELECT name , followers FROM user_profiles ORDER BY followers DESC; +SELECT name FROM user_profiles ORDER BY followers DESC LIMIT 5; +SELECT text FROM tweets ORDER BY createdate; +SELECT T1.name , count(*) FROM user_profiles AS T1 JOIN tweets AS T2 ON T1.uid = T2.uid GROUP BY T2.uid; +SELECT T1.name , T1.partitionid FROM user_profiles AS T1 JOIN tweets AS T2 ON T1.uid = T2.uid GROUP BY T2.uid HAVING count(*) < 2; +SELECT T1.name , count(*) FROM user_profiles AS T1 JOIN tweets AS T2 ON T1.uid = T2.uid GROUP BY T2.uid HAVING count(*) > 1; +SELECT avg(followers) FROM user_profiles WHERE UID NOT IN (SELECT UID FROM tweets); +SELECT avg(followers) FROM user_profiles WHERE UID IN (SELECT UID FROM tweets); +SELECT max(followers) , sum(followers) FROM user_profiles; +SELECT distinct(catalog_entry_name) FROM catalog_contents; +SELECT attribute_data_type FROM Attribute_Definitions GROUP BY attribute_data_type HAVING count(*) > 3; +SELECT attribute_data_type FROM Attribute_Definitions WHERE attribute_name = "Green"; +SELECT catalog_level_name , catalog_level_number FROM Catalog_Structure WHERE catalog_level_number BETWEEN 5 AND 10; +SELECT distinct(catalog_publisher) FROM catalogs WHERE catalog_publisher LIKE "%Murray%"; +SELECT catalog_publisher FROM catalogs GROUP BY catalog_publisher ORDER BY count(*) DESC LIMIT 1; +SELECT t1.catalog_name , t1.date_of_publication FROM catalogs AS t1 JOIN catalog_structure AS t2 ON t1.catalog_id = t2.catalog_id WHERE catalog_level_number > 5; +SELECT t1.catalog_entry_name FROM Catalog_Contents AS t1 JOIN Catalog_Contents_Additional_Attributes AS t2 ON t1.catalog_entry_id = t2.catalog_entry_id WHERE t2.attribute_value = (SELECT attribute_value FROM Catalog_Contents_Additional_Attributes GROUP BY attribute_value ORDER BY count(*) DESC LIMIT 1); +SELECT catalog_entry_name FROM catalog_contents ORDER BY price_in_dollars DESC LIMIT 1; +SELECT t2.catalog_level_name FROM catalog_contents AS t1 JOIN catalog_structure AS t2 ON t1.catalog_level_number = t2.catalog_level_number ORDER BY t1.price_in_dollars LIMIT 1; +SELECT avg(price_in_euros) , min(price_in_euros) FROM catalog_contents; +SELECT catalog_entry_name FROM catalog_contents ORDER BY height DESC LIMIT 1; +SELECT catalog_entry_name FROM catalog_contents ORDER BY capacity ASC LIMIT 1; +SELECT catalog_entry_name FROM catalog_contents WHERE product_stock_number LIKE "2%"; +SELECT t1.catalog_entry_name FROM Catalog_Contents AS t1 JOIN Catalog_Contents_Additional_Attributes AS t2 ON t1.catalog_entry_id = t2.catalog_entry_id WHERE t2.catalog_level_number = "8"; +SELECT catalog_entry_name FROM catalog_contents WHERE LENGTH < 3 OR width > 5; +SELECT t1.attribute_name , t1.attribute_id FROM Attribute_Definitions AS t1 JOIN Catalog_Contents_Additional_Attributes AS t2 ON t1.attribute_id = t2.attribute_id WHERE t2.attribute_value = 0; +SELECT catalog_entry_name , capacity FROM Catalog_Contents WHERE price_in_dollars > 700; +SELECT date_of_latest_revision FROM Catalogs GROUP BY date_of_latest_revision HAVING count(*) > 1; +SELECT count(*) FROM catalog_contents; +SELECT catalog_entry_name FROM catalog_contents WHERE next_entry_id > 8; +SELECT count(*) FROM Aircraft; +SELECT name , distance FROM Aircraft; +SELECT aid FROM Aircraft WHERE distance > 1000; +SELECT count(*) FROM Aircraft WHERE distance BETWEEN 1000 AND 5000; +SELECT name , distance FROM Aircraft WHERE aid = 12; +SELECT min(distance) , avg(distance) , max(distance) FROM Aircraft; +SELECT aid , name FROM Aircraft ORDER BY distance DESC LIMIT 1; +SELECT name FROM Aircraft ORDER BY distance LIMIT 3; +SELECT name FROM Aircraft WHERE distance > (SELECT avg(distance) FROM Aircraft); +SELECT count(*) FROM Employee; +SELECT name , salary FROM Employee ORDER BY salary; +SELECT eid FROM Employee WHERE salary > 100000; +SELECT count(*) FROM Employee WHERE salary BETWEEN 100000 AND 200000; +SELECT name , salary FROM Employee WHERE eid = 242518965; +SELECT avg(salary) , max(salary) FROM Employee; +SELECT eid , name FROM Employee ORDER BY salary DESC LIMIT 1; +SELECT name FROM Employee ORDER BY salary ASC LIMIT 3; +SELECT name FROM Employee WHERE salary > (SELECT avg(salary) FROM Employee); +SELECT eid , salary FROM Employee WHERE name = 'Mark Young'; +SELECT count(*) FROM Flight; +SELECT flno , origin , destination FROM Flight ORDER BY origin; +SELECT flno FROM Flight WHERE origin = "Los Angeles"; +SELECT origin FROM Flight WHERE destination = "Honolulu"; +SELECT departure_date , arrival_date FROM Flight WHERE origin = "Los Angeles" AND destination = "Honolulu"; +SELECT flno FROM Flight WHERE distance > 2000; +SELECT avg(price) FROM Flight WHERE origin = "Los Angeles" AND destination = "Honolulu"; +SELECT origin , destination FROM Flight WHERE price > 300; +SELECT flno , distance FROM Flight ORDER BY price DESC LIMIT 1; +SELECT flno FROM Flight ORDER BY distance ASC LIMIT 3; +SELECT avg(distance) , avg(price) FROM Flight WHERE origin = "Los Angeles"; +SELECT origin , count(*) FROM Flight GROUP BY origin; +SELECT destination , count(*) FROM Flight GROUP BY destination; +SELECT origin FROM Flight GROUP BY origin ORDER BY count(*) DESC LIMIT 1; +SELECT destination FROM Flight GROUP BY destination ORDER BY count(*) LIMIT 1; +SELECT T2.name FROM Flight AS T1 JOIN Aircraft AS T2 ON T1.aid = T2.aid WHERE T1.flno = 99; +SELECT T1.flno FROM Flight AS T1 JOIN Aircraft AS T2 ON T1.aid = T2.aid WHERE T2.name = "Airbus A340-300"; +SELECT T2.name , count(*) FROM Flight AS T1 JOIN Aircraft AS T2 ON T1.aid = T2.aid GROUP BY T1.aid; +SELECT T2.name FROM Flight AS T1 JOIN Aircraft AS T2 ON T1.aid = T2.aid GROUP BY T1.aid HAVING count(*) >= 2; +SELECT count(DISTINCT eid) FROM Certificate; +SELECT eid FROM Employee EXCEPT SELECT eid FROM Certificate; +SELECT T3.name FROM Employee AS T1 JOIN Certificate AS T2 ON T1.eid = T2.eid JOIN Aircraft AS T3 ON T3.aid = T2.aid WHERE T1.name = "John Williams"; +SELECT T1.name FROM Employee AS T1 JOIN Certificate AS T2 ON T1.eid = T2.eid JOIN Aircraft AS T3 ON T3.aid = T2.aid WHERE T3.name = "Boeing 737-800"; +SELECT T1.name FROM Employee AS T1 JOIN Certificate AS T2 ON T1.eid = T2.eid JOIN Aircraft AS T3 ON T3.aid = T2.aid WHERE T3.name = "Boeing 737-800" INTERSECT SELECT T1.name FROM Employee AS T1 JOIN Certificate AS T2 ON T1.eid = T2.eid JOIN Aircraft AS T3 ON T3.aid = T2.aid WHERE T3.name = "Airbus A340-300"; +SELECT name FROM Employee EXCEPT SELECT T1.name FROM Employee AS T1 JOIN Certificate AS T2 ON T1.eid = T2.eid JOIN Aircraft AS T3 ON T3.aid = T2.aid WHERE T3.name = "Boeing 737-800"; +SELECT T2.name FROM Certificate AS T1 JOIN Aircraft AS T2 ON T2.aid = T1.aid GROUP BY T1.aid ORDER BY count(*) DESC LIMIT 1; +SELECT T2.name FROM Certificate AS T1 JOIN Aircraft AS T2 ON T2.aid = T1.aid WHERE T2.distance > 5000 GROUP BY T1.aid ORDER BY count(*) >= 5; +SELECT T1.name , T1.salary FROM Employee AS T1 JOIN Certificate AS T2 ON T1.eid = T2.eid GROUP BY T1.eid ORDER BY count(*) DESC LIMIT 1; +SELECT T1.name FROM Employee AS T1 JOIN Certificate AS T2 ON T1.eid = T2.eid JOIN Aircraft AS T3 ON T3.aid = T2.aid WHERE T3.distance > 5000 GROUP BY T1.eid ORDER BY count(*) DESC LIMIT 1; +SELECT count(DISTINCT allergy) FROM Allergy_type; +SELECT count(DISTINCT allergytype) FROM Allergy_type; +SELECT DISTINCT allergytype FROM Allergy_type; +SELECT allergy , allergytype FROM Allergy_type; +SELECT DISTINCT allergy FROM Allergy_type WHERE allergytype = "food"; +SELECT allergytype FROM Allergy_type WHERE allergy = "Cat"; +SELECT count(*) FROM Allergy_type WHERE allergytype = "animal"; +SELECT allergytype , count(*) FROM Allergy_type GROUP BY allergytype; +SELECT allergytype FROM Allergy_type GROUP BY allergytype ORDER BY count(*) DESC LIMIT 1; +SELECT allergytype FROM Allergy_type GROUP BY allergytype ORDER BY count(*) ASC LIMIT 1; +SELECT count(*) FROM Student; +SELECT Fname , Lname FROM Student; +SELECT count(DISTINCT advisor) FROM Student; +SELECT DISTINCT Major FROM Student; +SELECT DISTINCT city_code FROM Student; +SELECT Fname , Lname , Age FROM Student WHERE Sex = 'F'; +SELECT StuID FROM Student WHERE Sex = 'M'; +SELECT count(*) FROM Student WHERE age = 18; +SELECT StuID FROM Student WHERE age > 20; +SELECT city_code FROM Student WHERE LName = "Kim"; +SELECT Advisor FROM Student WHERE StuID = 1004; +SELECT count(*) FROM Student WHERE city_code = "HKG" OR city_code = "CHI"; +SELECT min(age) , avg(age) , max(age) FROM Student; +SELECT LName FROM Student WHERE age = (SELECT min(age) FROM Student); +SELECT StuID FROM Student WHERE age = (SELECT max(age) FROM Student); +SELECT major , count(*) FROM Student GROUP BY major; +SELECT major FROM Student GROUP BY major ORDER BY count(*) DESC LIMIT 1; +SELECT age , count(*) FROM Student GROUP BY age; +SELECT avg(age) , sex FROM Student GROUP BY sex; +SELECT city_code , count(*) FROM Student GROUP BY city_code; +SELECT advisor , count(*) FROM Student GROUP BY advisor; +SELECT advisor FROM Student GROUP BY advisor ORDER BY count(*) DESC LIMIT 1; +SELECT count(*) FROM Has_allergy WHERE Allergy = "Cat"; +SELECT StuID FROM Has_allergy GROUP BY StuID HAVING count(*) >= 2; +SELECT StuID FROM Student EXCEPT SELECT StuID FROM Has_allergy; +SELECT count(*) FROM has_allergy AS T1 JOIN Student AS T2 ON T1.StuID = T2.StuID WHERE T2.sex = "F" AND T1.allergy = "Milk" OR T1.allergy = "Eggs"; +SELECT count(*) FROM Has_allergy AS T1 JOIN Allergy_type AS T2 ON T1.allergy = T2.allergy WHERE T2.allergytype = "food"; +SELECT Allergy FROM Has_allergy GROUP BY Allergy ORDER BY count(*) DESC LIMIT 1; +SELECT Allergy , count(*) FROM Has_allergy GROUP BY Allergy; +SELECT T2.allergytype , count(*) FROM Has_allergy AS T1 JOIN Allergy_type AS T2 ON T1.allergy = T2.allergy GROUP BY T2.allergytype; +SELECT lname , age FROM Student WHERE StuID IN (SELECT StuID FROM Has_allergy WHERE Allergy = "Milk" INTERSECT SELECT StuID FROM Has_allergy WHERE Allergy = "Cat"); +SELECT T1.Allergy , T1.AllergyType FROM Allergy_type AS T1 JOIN Has_allergy AS T2 ON T1.Allergy = T2.Allergy JOIN Student AS T3 ON T3.StuID = T2.StuID WHERE T3.Fname = "Lisa" ORDER BY T1.Allergy; +SELECT fname , sex FROM Student WHERE StuID IN (SELECT StuID FROM Has_allergy WHERE Allergy = "Milk" EXCEPT SELECT StuID FROM Has_allergy WHERE Allergy = "Cat"); +SELECT avg(age) FROM Student WHERE StuID IN ( SELECT T1.StuID FROM Has_allergy AS T1 JOIN Allergy_Type AS T2 ON T1.Allergy = T2.Allergy WHERE T2.allergytype = "food" INTERSECT SELECT T1.StuID FROM Has_allergy AS T1 JOIN Allergy_Type AS T2 ON T1.Allergy = T2.Allergy WHERE T2.allergytype = "animal"); +SELECT fname , lname FROM Student WHERE StuID NOT IN (SELECT T1.StuID FROM Has_allergy AS T1 JOIN Allergy_Type AS T2 ON T1.Allergy = T2.Allergy WHERE T2.allergytype = "food"); +SELECT count(*) FROM Student WHERE sex = "M" AND StuID IN (SELECT StuID FROM Has_allergy AS T1 JOIN Allergy_Type AS T2 ON T1.Allergy = T2.Allergy WHERE T2.allergytype = "food"); +SELECT DISTINCT T1.fname , T1.city_code FROM Student AS T1 JOIN Has_Allergy AS T2 ON T1.stuid = T2.stuid WHERE T2.Allergy = "Milk" OR T2.Allergy = "Cat"; +SELECT count(*) FROM Student WHERE age > 18 AND StuID NOT IN ( SELECT StuID FROM Has_allergy AS T1 JOIN Allergy_Type AS T2 ON T1.Allergy = T2.Allergy WHERE T2.allergytype = "food" OR T2.allergytype = "animal"); +SELECT fname , major FROM Student WHERE StuID NOT IN (SELECT StuID FROM Has_allergy WHERE Allergy = "Soy"); +SELECT T2.title FROM artists AS T1 JOIN albums AS T2 ON T1.id = T2.artist_id WHERE T1.name LIKE '%Led%'; +SELECT T1.first_name , T1.last_name FROM employees AS T1 JOIN customers AS T2 ON T1.id = T2.support_rep_id GROUP BY T1.id ORDER BY count(*) DESC LIMIT 1; +SELECT count(*) , city FROM employees WHERE title = 'IT Staff' GROUP BY city; +SELECT T2.name FROM genres AS T1 JOIN tracks AS T2 ON T1.id = T2.genre_id WHERE T1.name = "Rock" OR T1.name = "Jazz"; +SELECT T1.name FROM tracks AS T1 JOIN playlist_tracks AS T2 ON T1.id = T2.track_id JOIN playlists AS T3 ON T2.playlist_id = T3.id WHERE T3.name = 'Movies' EXCEPT SELECT T1.name FROM tracks AS T1 JOIN playlist_tracks AS T2 ON T1.id = T2.track_id JOIN playlists AS T3 ON T2.playlist_id = T3.id WHERE T3.name = 'Music'; +SELECT T1.name FROM tracks AS T1 JOIN playlist_tracks AS T2 ON T1.id = T2.track_id JOIN playlists AS T3 ON T2.playlist_id = T3.id WHERE T3.name = 'Movies' INTERSECT SELECT T1.name FROM tracks AS T1 JOIN playlist_tracks AS T2 ON T1.id = T2.track_id JOIN playlists AS T3 ON T2.playlist_id = T3.id WHERE T3.name = 'Music'; +SELECT count(*) FROM editor; +SELECT Name FROM editor ORDER BY Age ASC; +SELECT Name , Age FROM editor; +SELECT Name FROM editor WHERE Age > 25; +SELECT Name FROM editor WHERE Age = 24 OR Age = 25; +SELECT Name FROM editor ORDER BY Age ASC LIMIT 1; +SELECT Age , COUNT(*) FROM editor GROUP BY Age; +SELECT Age FROM editor GROUP BY Age ORDER BY COUNT(*) DESC LIMIT 1; +SELECT DISTINCT Theme FROM journal; +SELECT T2.Name , T3.Theme FROM journal_committee AS T1 JOIN editor AS T2 ON T1.Editor_ID = T2.Editor_ID JOIN journal AS T3 ON T1.Journal_ID = T3.Journal_ID; +SELECT T2.Name , T2.age , T3.Theme FROM journal_committee AS T1 JOIN editor AS T2 ON T1.Editor_ID = T2.Editor_ID JOIN journal AS T3 ON T1.Journal_ID = T3.Journal_ID ORDER BY T3.Theme ASC; +SELECT T2.Name FROM journal_committee AS T1 JOIN editor AS T2 ON T1.Editor_ID = T2.Editor_ID JOIN journal AS T3 ON T1.Journal_ID = T3.Journal_ID WHERE T3.Sales > 3000; +SELECT T1.editor_id , T1.Name , COUNT(*) FROM editor AS T1 JOIN journal_committee AS T2 ON T1.Editor_ID = T2.Editor_ID GROUP BY T1.editor_id; +SELECT T1.Name FROM editor AS T1 JOIN journal_committee AS T2 ON T1.Editor_ID = T2.Editor_ID GROUP BY T1.Name HAVING COUNT(*) >= 2; +SELECT Name FROM editor WHERE editor_id NOT IN (SELECT editor_id FROM journal_committee); +SELECT date , theme , sales FROM journal EXCEPT SELECT T1.date , T1.theme , T1.sales FROM journal AS T1 JOIN journal_committee AS T2 ON T1.journal_ID = T2.journal_ID; +SELECT avg(T1.sales) FROM journal AS T1 JOIN journal_committee AS T2 ON T1.journal_ID = T2.journal_ID WHERE T2.work_type = 'Photo'; +SELECT count(*) FROM Accounts; +SELECT account_id , customer_id , account_name FROM Accounts; +SELECT other_account_details FROM Accounts WHERE account_name = "338"; +SELECT T2.customer_first_name , T2.customer_last_name , T2.customer_phone FROM Accounts AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id WHERE T1.account_name = "162"; +SELECT count(*) FROM Accounts AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id WHERE T2.customer_first_name = "Art" AND T2.customer_last_name = "Turcotte"; +SELECT customer_id , count(*) FROM Accounts GROUP BY customer_id; +SELECT customer_id , count(*) FROM Accounts GROUP BY customer_id ORDER BY count(*) DESC LIMIT 1; +SELECT T2.customer_first_name , T2.customer_last_name , T1.customer_id FROM Accounts AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_id ORDER BY count(*) ASC LIMIT 1; +SELECT count(*) FROM Customers WHERE customer_id NOT IN (SELECT customer_id FROM Accounts); +SELECT customer_first_name , customer_last_name FROM Customers EXCEPT SELECT T1.customer_first_name , T1.customer_last_name FROM Customers AS T1 JOIN Accounts AS T2 ON T1.customer_id = T2.customer_id; +SELECT DISTINCT T1.customer_first_name , T1.customer_last_name FROM Customers AS T1 JOIN Accounts AS T2 ON T1.customer_id = T2.customer_id; +SELECT count(DISTINCT customer_id) FROM Accounts; +SELECT count(*) FROM Customers; +SELECT customer_id , customer_first_name , customer_last_name , customer_phone FROM Customers; +SELECT customer_phone , customer_email FROM Customers WHERE customer_first_name = "Aniyah" AND customer_last_name = "Feest"; +SELECT count(*) FROM Customers_cards; +SELECT card_id , customer_id , card_type_code , card_number FROM Customers_cards; +SELECT date_valid_from , date_valid_to FROM Customers_cards WHERE card_number = "4560596484842"; +SELECT T2.customer_first_name , T2.customer_last_name , T2.customer_phone FROM Customers_cards AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id WHERE T1.card_number = "4560596484842"; +SELECT count(*) FROM Customers_cards AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id WHERE T2.customer_first_name = "Art" AND T2.customer_last_name = "Turcotte"; +SELECT count(*) FROM Customers_cards WHERE card_type_code = "Debit"; +SELECT count(*) FROM Customers_cards AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id WHERE T2.customer_first_name = "Blanche" AND T2.customer_last_name = "Huels" AND T1.card_type_code = "Credit"; +SELECT customer_id , count(*) FROM Customers_cards GROUP BY customer_id; +SELECT customer_id , count(*) FROM Customers_cards GROUP BY customer_id ORDER BY count(*) DESC LIMIT 1; +SELECT T1.customer_id , T2.customer_first_name , T2.customer_last_name FROM Customers_cards AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_id HAVING count(*) >= 2; +SELECT T1.customer_id , T2.customer_first_name , T2.customer_last_name FROM Customers_cards AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_id ORDER BY count(*) ASC LIMIT 1; +SELECT card_type_code , count(*) FROM Customers_cards GROUP BY card_type_code; +SELECT card_type_code FROM Customers_cards GROUP BY card_type_code ORDER BY count(*) DESC LIMIT 1; +SELECT card_type_code FROM Customers_cards GROUP BY card_type_code HAVING count(*) >= 5; +SELECT card_type_code , count(DISTINCT customer_id) FROM Customers_cards GROUP BY card_type_code; +SELECT customer_id , customer_first_name FROM Customers EXCEPT SELECT T1.customer_id , T2.customer_first_name FROM Customers_cards AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id WHERE card_type_code = "Credit"; +SELECT DISTINCT card_type_code FROM Customers_Cards; +SELECT count(DISTINCT card_type_code) FROM Customers_Cards; +SELECT DISTINCT transaction_type FROM Financial_Transactions; +SELECT count(DISTINCT transaction_type) FROM Financial_Transactions; +SELECT avg(transaction_amount) , sum(transaction_amount) FROM Financial_transactions; +SELECT T2.card_type_code , count(*) FROM Financial_transactions AS T1 JOIN Customers_cards AS T2 ON T1.card_id = T2.card_id GROUP BY T2.card_type_code; +SELECT transaction_type , count(*) FROM Financial_transactions GROUP BY transaction_type; +SELECT transaction_type FROM Financial_transactions GROUP BY transaction_type ORDER BY sum(transaction_amount) DESC LIMIT 1; +SELECT account_id , count(*) FROM Financial_transactions GROUP BY account_id; +SELECT count(*) FROM track; +SELECT name , LOCATION FROM track; +SELECT name , seating FROM track WHERE year_opened > 2000 ORDER BY seating; +SELECT name , LOCATION , seating FROM track ORDER BY year_opened DESC LIMIT 1; +SELECT min(seating) , max(seating) , avg(seating) FROM track; +SELECT name , LOCATION , year_opened FROM track WHERE seating > (SELECT avg(seating) FROM track); +SELECT DISTINCT LOCATION FROM track; +SELECT count(*) FROM race; +SELECT DISTINCT CLASS FROM race; +SELECT name , CLASS , date FROM race; +SELECT CLASS , count(*) FROM race GROUP BY CLASS; +SELECT CLASS FROM race GROUP BY CLASS ORDER BY count(*) DESC LIMIT 1; +SELECT CLASS FROM race GROUP BY CLASS HAVING count(*) >= 2; +SELECT name FROM track EXCEPT SELECT T2.name FROM race AS T1 JOIN track AS T2 ON T1.track_id = T2.track_id WHERE T1.class = 'GT'; +SELECT name FROM track WHERE track_id NOT IN (SELECT track_id FROM race); +SELECT year_opened FROM track WHERE seating BETWEEN 4000 AND 5000; +SELECT T2.name , count(*) FROM race AS T1 JOIN track AS T2 ON T1.track_id = T2.track_id GROUP BY T1.track_id; +SELECT T2.name FROM race AS T1 JOIN track AS T2 ON T1.track_id = T2.track_id GROUP BY T1.track_id ORDER BY count(*) DESC LIMIT 1; +SELECT T1.name , T1.date , T2.name FROM race AS T1 JOIN track AS T2 ON T1.track_id = T2.track_id; +SELECT T2.name , T2.location FROM race AS T1 JOIN track AS T2 ON T1.track_id = T2.track_id GROUP BY T1.track_id HAVING count(*) = 1; +SELECT LOCATION FROM track WHERE seating > 90000 INTERSECT SELECT LOCATION FROM track WHERE seating < 70000; +SELECT count(*) FROM member WHERE Membership_card = 'Black'; +SELECT count(*) , address FROM member GROUP BY address; +SELECT name FROM member WHERE address = 'Harford' OR address = 'Waterbury'; +SELECT name , member_id FROM member WHERE Membership_card = 'Black' OR age < 30; +SELECT Time_of_purchase , age , address FROM member ORDER BY Time_of_purchase; +SELECT Membership_card FROM member GROUP BY Membership_card HAVING count(*) > 5; +SELECT address FROM member WHERE age < 30 INTERSECT SELECT address FROM member WHERE age > 40; +SELECT membership_card FROM member WHERE address = 'Hartford' INTERSECT SELECT membership_card FROM member WHERE address = 'Waterbury'; +SELECT count(*) FROM member WHERE address != 'Hartford'; +SELECT address FROM member EXCEPT SELECT address FROM member WHERE Membership_card = 'Black'; +SELECT address FROM shop ORDER BY open_year; +SELECT avg(num_of_staff) , avg(score) FROM shop; +SELECT shop_id , address FROM shop WHERE score < (SELECT avg(score) FROM shop); +SELECT address , num_of_staff FROM shop WHERE shop_id NOT IN (SELECT shop_id FROM happy_hour); +SELECT t1.address , t1.shop_id FROM shop AS t1 JOIN happy_hour AS t2 ON t1.shop_id = t2.shop_id WHERE MONTH = 'May'; +SELECT shop_id , count(*) FROM happy_hour GROUP BY shop_id ORDER BY count(*) DESC LIMIT 1; +SELECT MONTH FROM happy_hour GROUP BY MONTH ORDER BY count(*) DESC LIMIT 1; +SELECT MONTH FROM happy_hour GROUP BY MONTH HAVING count(*) > 2; +SELECT count(*) FROM ALBUM; +SELECT Name FROM GENRE; +SELECT * FROM CUSTOMER WHERE State = "NY"; +SELECT FirstName , LastName FROM EMPLOYEE WHERE City = "Calgary"; +SELECT distinct(BillingCountry) FROM INVOICE; +SELECT Name FROM ARTIST WHERE Name LIKE "%a%"; +SELECT Title FROM ALBUM AS T1 JOIN ARTIST AS T2 ON T1.ArtistId = T2.ArtistId WHERE T2.Name = "AC/DC"; +SELECT COUNT(*) FROM ALBUM AS T1 JOIN ARTIST AS T2 ON T1.ArtistId = T2.ArtistId WHERE T2.Name = "Metallica"; +SELECT T2.Name FROM ALBUM AS T1 JOIN ARTIST AS T2 ON T1.ArtistId = T2.ArtistId WHERE T1.Title = "Balls to the Wall"; +SELECT T2.Name FROM ALBUM AS T1 JOIN ARTIST AS T2 ON T1.ArtistId = T2.ArtistId GROUP BY T2.Name ORDER BY COUNT(*) DESC LIMIT 1; +SELECT Name FROM TRACK WHERE Name LIKE '%you%'; +SELECT AVG(UnitPrice) FROM TRACK; +SELECT max(Milliseconds) , min(Milliseconds) FROM TRACK; +SELECT T1.Title , T2.AlbumID , COUNT(*) FROM ALBUM AS T1 JOIN TRACK AS T2 ON T1.AlbumId = T2.AlbumId GROUP BY T2.AlbumID; +SELECT T1.Name FROM GENRE AS T1 JOIN TRACK AS T2 ON T1.GenreId = T2.GenreId GROUP BY T2.GenreId ORDER BY COUNT(*) DESC LIMIT 1; +SELECT T1.Name FROM MEDIATYPE AS T1 JOIN TRACK AS T2 ON T1.MediaTypeId = T2.MediaTypeId GROUP BY T2.MediaTypeId ORDER BY COUNT(*) ASC LIMIT 1; +SELECT T1.Title , T2.AlbumID FROM ALBUM AS T1 JOIN TRACK AS T2 ON T1.AlbumId = T2.AlbumId WHERE T2.UnitPrice > 1 GROUP BY T2.AlbumID; +SELECT COUNT(*) FROM GENRE AS T1 JOIN TRACK AS T2 ON T1.GenreId = T2.GenreId WHERE T1.Name = "Rock"; +SELECT AVG(UnitPrice) FROM GENRE AS T1 JOIN TRACK AS T2 ON T1.GenreId = T2.GenreId WHERE T1.Name = "Jazz"; +SELECT FirstName , LastName FROM CUSTOMER WHERE Email = "luisg@embraer.com.br"; +SELECT COUNT(*) FROM CUSTOMER WHERE Email LIKE "%gmail.com%"; +SELECT T2.FirstName , T2.LastName FROM CUSTOMER AS T1 JOIN EMPLOYEE AS T2 ON T1.SupportRepId = T2.EmployeeId WHERE T1.FirstName = "Leonie"; +SELECT T2.City FROM CUSTOMER AS T1 JOIN EMPLOYEE AS T2 ON T1.SupportRepId = T2.EmployeeId WHERE T1.PostalCode = "70174"; +SELECT COUNT(DISTINCT city) FROM EMPLOYEE; +SELECT T2.InvoiceDate FROM CUSTOMER AS T1 JOIN INVOICE AS T2 ON T1.CustomerId = T2.CustomerId WHERE T1.FirstName = "Astrid" AND LastName = "Gruber"; +SELECT LastName FROM CUSTOMER EXCEPT SELECT T1.LastName FROM CUSTOMER AS T1 JOIN Invoice AS T2 ON T1.CustomerId = T2.CustomerId WHERE T2.total > 20; +SELECT DISTINCT T1.FirstName FROM CUSTOMER AS T1 JOIN INVOICE AS T2 ON T1.CustomerId = T2.CustomerId WHERE T1.country = "Brazil"; +SELECT DISTINCT T1.Address FROM CUSTOMER AS T1 JOIN INVOICE AS T2 ON T1.CustomerId = T2.CustomerId WHERE T1.country = "Germany"; +SELECT Phone FROM EMPLOYEE; +SELECT COUNT(*) FROM MEDIATYPE AS T1 JOIN TRACK AS T2 ON T1.MediaTypeId = T2.MediaTypeId WHERE T1.Name = "AAC audio file"; +SELECT AVG(Milliseconds) FROM GENRE AS T1 JOIN TRACK AS T2 ON T1.GenreId = T2.GenreId WHERE T1.Name = "Latin" OR T1.Name = "Pop"; +SELECT T1.FirstName , T1.SupportRepId FROM CUSTOMER AS T1 JOIN EMPLOYEE AS T2 ON T1.SupportRepId = T2.EmployeeId GROUP BY T1.SupportRepId HAVING COUNT(*) >= 10; +SELECT T1.LastName FROM CUSTOMER AS T1 JOIN EMPLOYEE AS T2 ON T1.SupportRepId = T2.EmployeeId GROUP BY T1.SupportRepId HAVING COUNT(*) <= 20; +SELECT Title FROM ALBUM ORDER BY Title; +SELECT T2.Name , T1.ArtistId FROM ALBUM AS T1 JOIN ARTIST AS T2 ON T1.ArtistId = T2.ArtistID GROUP BY T1.ArtistId HAVING COUNT(*) >= 3 ORDER BY T2.Name; +SELECT Name FROM ARTIST EXCEPT SELECT T2.Name FROM ALBUM AS T1 JOIN ARTIST AS T2 ON T1.ArtistId = T2.ArtistId; +SELECT AVG(T2.UnitPrice) FROM GENRE AS T1 JOIN TRACK AS T2 ON T1.GenreId = T2.GenreId WHERE T1.Name = "Rock"; +SELECT max(Milliseconds) , min(Milliseconds) FROM GENRE AS T1 JOIN TRACK AS T2 ON T1.GenreId = T2.GenreId WHERE T1.Name = "Pop"; +SELECT BirthDate FROM EMPLOYEE WHERE City = "Edmonton"; +SELECT distinct(UnitPrice) FROM TRACK; +SELECT count(*) FROM ARTIST WHERE artistid NOT IN(SELECT artistid FROM ALBUM); +SELECT T1.Title FROM Album AS T1 JOIN Track AS T2 ON T1.AlbumId = T2.AlbumId JOIN Genre AS T3 ON T2.GenreID = T3.GenreID WHERE T3.Name = 'Reggae' INTERSECT SELECT T1.Title FROM Album AS T1 JOIN Track AS T2 ON T1.AlbumId = T2.AlbumId JOIN Genre AS T3 ON T2.GenreID = T3.GenreID WHERE T3.Name = 'Rock'; +SELECT customer_phone FROM available_policies; +SELECT customer_phone FROM available_policies WHERE policy_type_code = "Life Insurance"; +SELECT policy_type_code FROM available_policies GROUP BY policy_type_code ORDER BY count(*) DESC LIMIT 1; +SELECT customer_phone FROM available_policies WHERE policy_type_code = (SELECT policy_type_code FROM available_policies GROUP BY policy_type_code ORDER BY count(*) DESC LIMIT 1); +SELECT policy_type_code FROM available_policies GROUP BY policy_type_code HAVING count(*) > 4; +SELECT sum(settlement_amount) , avg(settlement_amount) FROM settlements; +SELECT t2.service_name FROM first_notification_of_loss AS t1 JOIN services AS t2 ON t1.service_id = t2.service_id GROUP BY t1.service_id HAVING count(*) > 2; +SELECT t1.Effective_Date FROM claims AS t1 JOIN settlements AS t2 ON t1.claim_id = t2.claim_id GROUP BY t1.claim_id ORDER BY sum(t2.settlement_amount) DESC LIMIT 1; +SELECT count(*) FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id WHERE t1.customer_name = "Dayana Robel"; +SELECT t1.customer_name FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id GROUP BY t1.customer_name ORDER BY count(*) DESC LIMIT 1; +SELECT DISTINCT t3.policy_type_code FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id JOIN available_policies AS t3 ON t2.policy_id = t3.policy_id WHERE t1.customer_name = "Dayana Robel"; +SELECT DISTINCT t3.policy_type_code FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id JOIN available_policies AS t3 ON t2.policy_id = t3.policy_id WHERE t1.customer_name = (SELECT t1.customer_name FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id GROUP BY t1.customer_name ORDER BY count(*) DESC LIMIT 1); +SELECT service_name FROM services ORDER BY service_name; +SELECT count(*) FROM services; +SELECT customer_name FROM customers EXCEPT SELECT t1.customer_name FROM customers AS t1 JOIN first_notification_of_loss AS t2 ON t1.customer_id = t2.customer_id; +SELECT t1.customer_name FROM customers AS t1 JOIN first_notification_of_loss AS t2 ON t1.customer_id = t2.customer_id JOIN services AS t3 ON t2.service_id = t3.service_id WHERE t3.service_name = "Close a policy" OR t3.service_name = "Upgrade a policy"; +SELECT t1.customer_name FROM customers AS t1 JOIN first_notification_of_loss AS t2 ON t1.customer_id = t2.customer_id JOIN services AS t3 ON t2.service_id = t3.service_id WHERE t3.service_name = "Close a policy" INTERSECT SELECT t1.customer_name FROM customers AS t1 JOIN first_notification_of_loss AS t2 ON t1.customer_id = t2.customer_id JOIN services AS t3 ON t2.service_id = t3.service_id WHERE t3.service_name = "New policy application"; +SELECT customer_id FROM customers WHERE customer_name LIKE "%Diana%"; +SELECT max(settlement_amount) , min(settlement_amount) FROM settlements; +SELECT customer_id , customer_name FROM customers ORDER BY customer_id ASC; +SELECT t2.date_opened , t2.date_closed FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id WHERE t1.customer_name LIKE "%Diana%"; +SELECT count(*) FROM enzyme; +SELECT name FROM enzyme ORDER BY name DESC; +SELECT name , LOCATION FROM enzyme; +SELECT max(OMIM) FROM enzyme; +SELECT product , chromosome , porphyria FROM enzyme WHERE LOCATION = 'Cytosol'; +SELECT name FROM enzyme WHERE product != 'Heme'; +SELECT name , trade_name FROM medicine WHERE FDA_approved = 'Yes'; +SELECT T1.name FROM enzyme AS T1 JOIN medicine_enzyme_interaction AS T2 ON T1.id = T2.enzyme_id JOIN medicine AS T3 ON T2.medicine_id = T3.id WHERE T3.name = 'Amisulpride' AND T2.interaction_type = 'inhibitor'; +SELECT T1.id , T1.Name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id GROUP BY T1.id HAVING count(*) >= 2; +SELECT T1.id , T1.Name , T1.FDA_approved FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id GROUP BY T1.id ORDER BY count(*) DESC; +SELECT T1.id , T1.name FROM enzyme AS T1 JOIN medicine_enzyme_interaction AS T2 ON T1.id = T2.enzyme_id WHERE T2.interaction_type = 'activitor' GROUP BY T1.id ORDER BY count(*) DESC LIMIT 1; +SELECT T1.interaction_type FROM medicine_enzyme_interaction AS T1 JOIN medicine AS T2 ON T1.medicine_id = T2.id JOIN enzyme AS T3 ON T1.enzyme_id = T3.id WHERE T3.name = 'ALA synthase' AND T2.name = 'Aripiprazole'; +SELECT interaction_type , count(*) FROM medicine_enzyme_interaction GROUP BY interaction_type ORDER BY count(*) DESC LIMIT 1; +SELECT count(*) FROM medicine WHERE FDA_approved = 'No'; +SELECT T1.id , T1.trade_name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id GROUP BY T1.id HAVING COUNT(*) >= 3; +SELECT DISTINCT T1.name , T1.location , T1.product FROM enzyme AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.enzyme_id = T1.id WHERE T2.interaction_type = 'inhibitor'; +SELECT T1.name , T1.trade_name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id WHERE interaction_type = 'inhibitor' INTERSECT SELECT T1.name , T1.trade_name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id WHERE interaction_type = 'activitor'; +SELECT name , trade_name FROM medicine EXCEPT SELECT T1.name , T1.trade_name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id JOIN enzyme AS T3 ON T3.id = T2.enzyme_id WHERE T3.product = 'Protoporphyrinogen IX'; +SELECT count(DISTINCT FDA_approved) FROM medicine; +SELECT name FROM enzyme WHERE name LIKE "%ALA%"; +SELECT trade_name , count(*) FROM medicine GROUP BY trade_name; +SELECT school , nickname FROM university ORDER BY founded; +SELECT school , LOCATION FROM university WHERE affiliation = 'Public'; +SELECT founded FROM university ORDER BY enrollment DESC LIMIT 1; +SELECT founded FROM university WHERE affiliation != 'Public' ORDER BY founded DESC LIMIT 1; +SELECT count(DISTINCT school_id) FROM basketball_match; +SELECT acc_percent FROM basketball_match ORDER BY acc_percent DESC LIMIT 1; +SELECT t1.Primary_conference FROM university AS t1 JOIN basketball_match AS t2 ON t1.school_id = t2.school_id ORDER BY t2.acc_percent LIMIT 1; +SELECT t2.team_name , t2.ACC_Regular_Season FROM university AS t1 JOIN basketball_match AS t2 ON t1.school_id = t2.school_id ORDER BY t1.founded LIMIT 1; +SELECT t2.All_Games , t1.location FROM university AS t1 JOIN basketball_match AS t2 ON t1.school_id = t2.school_id WHERE team_name = 'Clemson'; +SELECT avg(enrollment) FROM university WHERE founded < 1850; +SELECT enrollment , primary_conference FROM university ORDER BY founded LIMIT 1; +SELECT sum(enrollment) , min(enrollment) FROM university; +SELECT count(*) FROM singer; +SELECT name , country , age FROM singer ORDER BY age DESC; +SELECT avg(age) , min(age) , max(age) FROM singer WHERE country = 'France'; +SELECT song_name , song_release_year FROM singer ORDER BY age LIMIT 1; +SELECT DISTINCT country FROM singer WHERE age > 20; +SELECT country , count(*) FROM singer GROUP BY country; +SELECT song_name FROM singer WHERE age > (SELECT avg(age) FROM singer); +SELECT LOCATION , name FROM stadium WHERE capacity BETWEEN 5000 AND 10000; +select max(capacity), average from stadium; +select avg(capacity) , max(capacity) from stadium; +SELECT name , capacity FROM stadium ORDER BY average DESC LIMIT 1; +SELECT count(*) FROM concert WHERE YEAR = 2014 OR YEAR = 2015; +SELECT T2.name , count(*) FROM concert AS T1 JOIN stadium AS T2 ON T1.stadium_id = T2.stadium_id GROUP BY T1.stadium_id; +SELECT T2.name , T2.capacity FROM concert AS T1 JOIN stadium AS T2 ON T1.stadium_id = T2.stadium_id WHERE T1.year >= 2014 GROUP BY T2.stadium_id ORDER BY count(*) DESC LIMIT 1; +select t2.name , t2.capacity from concert as t1 join stadium as t2 on t1.stadium_id = t2.stadium_id where t1.year > 2013 group by t2.stadium_id order by count(*) desc limit 1; +SELECT YEAR FROM concert GROUP BY YEAR ORDER BY count(*) DESC LIMIT 1; +SELECT name FROM stadium WHERE stadium_id NOT IN (SELECT stadium_id FROM concert); +SELECT country FROM singer WHERE age > 40 INTERSECT SELECT country FROM singer WHERE age < 30; +SELECT name FROM stadium EXCEPT SELECT T2.name FROM concert AS T1 JOIN stadium AS T2 ON T1.stadium_id = T2.stadium_id WHERE T1.year = 2014; +SELECT T2.concert_name , T2.theme , count(*) FROM singer_in_concert AS T1 JOIN concert AS T2 ON T1.concert_id = T2.concert_id GROUP BY T2.concert_id; +select t2.concert_name , t2.theme , count(*) from singer_in_concert as t1 join concert as t2 on t1.concert_id = t2.concert_id group by t2.concert_id; +SELECT T2.name , count(*) FROM singer_in_concert AS T1 JOIN singer AS T2 ON T1.singer_id = T2.singer_id GROUP BY T2.singer_id; +SELECT T2.name FROM singer_in_concert AS T1 JOIN singer AS T2 ON T1.singer_id = T2.singer_id JOIN concert AS T3 ON T1.concert_id = T3.concert_id WHERE T3.year = 2014; +SELECT name , country FROM singer WHERE song_name LIKE '%Hey%'; +SELECT T2.name , T2.location FROM concert AS T1 JOIN stadium AS T2 ON T1.stadium_id = T2.stadium_id WHERE T1.Year = 2014 INTERSECT SELECT T2.name , T2.location FROM concert AS T1 JOIN stadium AS T2 ON T1.stadium_id = T2.stadium_id WHERE T1.Year = 2015; +select count(*) from concert where stadium_id = (select stadium_id from stadium order by capacity desc limit 1); +SELECT count(*) FROM pets WHERE weight > 10; +SELECT weight FROM pets ORDER BY pet_age LIMIT 1; +SELECT max(weight) , petType FROM pets GROUP BY petType; +SELECT count(*) FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid WHERE T1.age > 20; +SELECT count(*) FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T2.petid = T3.petid WHERE T1.sex = 'F' AND T3.pettype = 'dog'; +SELECT count(DISTINCT pettype) FROM pets; +SELECT DISTINCT T1.Fname FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T3.petid = T2.petid WHERE T3.pettype = 'cat' OR T3.pettype = 'dog'; +select t1.fname from student as t1 join has_pet as t2 on t1.stuid = t2.stuid join pets as t3 on t3.petid = t2.petid where t3.pettype = 'cat' intersect select t1.fname from student as t1 join has_pet as t2 on t1.stuid = t2.stuid join pets as t3 on t3.petid = t2.petid where t3.pettype = 'dog'; +SELECT T1.Fname FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T3.petid = T2.petid WHERE T3.pettype = 'cat' INTERSECT SELECT T1.Fname FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T3.petid = T2.petid WHERE T3.pettype = 'dog'; +SELECT major , age FROM student WHERE stuid NOT IN (SELECT T1.stuid FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T3.petid = T2.petid WHERE T3.pettype = 'cat'); +SELECT stuid FROM student EXCEPT SELECT T1.stuid FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T3.petid = T2.petid WHERE T3.pettype = 'cat'; +SELECT T1.fname , T1.age FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T3.petid = T2.petid WHERE T3.pettype = 'dog' AND T1.stuid NOT IN (SELECT T1.stuid FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T3.petid = T2.petid WHERE T3.pettype = 'cat'); +SELECT pettype , weight FROM pets ORDER BY pet_age LIMIT 1; +SELECT petid , weight FROM pets WHERE pet_age > 1; +SELECT avg(pet_age) , max(pet_age) , pettype FROM pets GROUP BY pettype; +SELECT avg(weight) , pettype FROM pets GROUP BY pettype; +SELECT DISTINCT T1.fname , T1.age FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid; +SELECT T2.petid FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid WHERE T1.Lname = 'Smith'; +SELECT count(*) , T1.stuid FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid GROUP BY T1.stuid; +select count(*) , t1.stuid from student as t1 join has_pet as t2 on t1.stuid = t2.stuid group by t1.stuid; +SELECT T1.fname , T1.sex FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid GROUP BY T1.stuid HAVING count(*) > 1; +SELECT T1.lname FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T3.petid = T2.petid WHERE T3.pet_age = 3 AND T3.pettype = 'cat'; +select avg(age) from student where stuid not in (select stuid from has_pet); +SELECT T1.model FROM CAR_NAMES AS T1 JOIN CARS_DATA AS T2 ON T1.MakeId = T2.Id WHERE T2.Weight < (SELECT avg(Weight) FROM CARS_DATA); +select min(weight) from cars_data where cylinders = 8 and year = 1974; +select count(*) from countries as t1 join car_makers as t2 on t1.countryid = t2.country group by t1.countryid having count(*) > 2; +select max(mpg) from cars_data where cylinders = 8 or year < 1980; +SELECT Country FROM AIRLINES WHERE Airline = "JetBlue Airways"; +SELECT Abbreviation FROM AIRLINES WHERE Airline = "JetBlue Airways"; +SELECT Airline , Abbreviation FROM AIRLINES WHERE Country = "USA"; +SELECT AirportCode , AirportName FROM AIRPORTS WHERE city = "Anthony"; +SELECT count(*) FROM AIRLINES; +SELECT count(*) FROM AIRPORTS; +SELECT count(*) FROM FLIGHTS; +SELECT Airline FROM AIRLINES WHERE Abbreviation = "UAL"; +SELECT count(*) FROM AIRLINES WHERE Country = "USA"; +SELECT City , Country FROM AIRPORTS WHERE AirportName = "Alton"; +SELECT AirportName FROM AIRPORTS WHERE AirportCode = "AKO"; +SELECT AirportName FROM AIRPORTS WHERE City = "Aberdeen"; +SELECT count(*) FROM FLIGHTS WHERE SourceAirport = "APG"; +SELECT count(*) FROM FLIGHTS WHERE DestAirport = "ATO"; +SELECT count(*) FROM FLIGHTS AS T1 JOIN AIRPORTS AS T2 ON T1.SourceAirport = T2.AirportCode WHERE T2.City = "Aberdeen"; +SELECT count(*) FROM FLIGHTS AS T1 JOIN AIRPORTS AS T2 ON T1.DestAirport = T2.AirportCode WHERE T2.City = "Aberdeen"; +SELECT count(*) FROM FLIGHTS AS T1 JOIN AIRPORTS AS T2 ON T1.DestAirport = T2.AirportCode JOIN AIRPORTS AS T3 ON T1.SourceAirport = T3.AirportCode WHERE T2.City = "Ashley" AND T3.City = "Aberdeen"; +SELECT count(*) FROM FLIGHTS AS T1 JOIN AIRLINES AS T2 ON T1.Airline = T2.uid WHERE T2.Airline = "JetBlue Airways"; +SELECT count(*) FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T2.Airline = T1.uid WHERE T1.Airline = "United Airlines" AND T2.DestAirport = "ASY"; +SELECT count(*) FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T2.Airline = T1.uid WHERE T1.Airline = "United Airlines" AND T2.SourceAirport = "AHD"; +SELECT count(*) FROM FLIGHTS AS T1 JOIN AIRPORTS AS T2 ON T1.DestAirport = T2.AirportCode JOIN AIRLINES AS T3 ON T3.uid = T1.Airline WHERE T2.City = "Aberdeen" AND T3.Airline = "United Airlines"; +SELECT T1.City FROM AIRPORTS AS T1 JOIN FLIGHTS AS T2 ON T1.AirportCode = T2.DestAirport GROUP BY T1.City ORDER BY count(*) DESC LIMIT 1; +SELECT T1.City FROM AIRPORTS AS T1 JOIN FLIGHTS AS T2 ON T1.AirportCode = T2.SourceAirport GROUP BY T1.City ORDER BY count(*) DESC LIMIT 1; +SELECT T1.AirportCode FROM AIRPORTS AS T1 JOIN FLIGHTS AS T2 ON T1.AirportCode = T2.DestAirport OR T1.AirportCode = T2.SourceAirport GROUP BY T1.AirportCode ORDER BY count(*) DESC LIMIT 1; +SELECT T1.AirportCode FROM AIRPORTS AS T1 JOIN FLIGHTS AS T2 ON T1.AirportCode = T2.DestAirport OR T1.AirportCode = T2.SourceAirport GROUP BY T1.AirportCode ORDER BY count(*) LIMIT 1; +SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid = T2.Airline GROUP BY T1.Airline ORDER BY count(*) DESC LIMIT 1; +SELECT T1.Abbreviation , T1.Country FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid = T2.Airline GROUP BY T1.Airline ORDER BY count(*) LIMIT 1; +SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid = T2.Airline WHERE T2.SourceAirport = "AHD"; +SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid = T2.Airline WHERE T2.DestAirport = "AHD"; +SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid = T2.Airline WHERE T2.SourceAirport = "APG" INTERSECT SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid = T2.Airline WHERE T2.SourceAirport = "CVO"; +SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid = T2.Airline WHERE T2.SourceAirport = "CVO" EXCEPT SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid = T2.Airline WHERE T2.SourceAirport = "APG"; +SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid = T2.Airline GROUP BY T1.Airline HAVING count(*) > 10; +SELECT T1.Airline FROM AIRLINES AS T1 JOIN FLIGHTS AS T2 ON T1.uid = T2.Airline GROUP BY T1.Airline HAVING count(*) < 200; +SELECT T1.FlightNo FROM FLIGHTS AS T1 JOIN AIRLINES AS T2 ON T2.uid = T1.Airline WHERE T2.Airline = "United Airlines"; +SELECT FlightNo FROM FLIGHTS WHERE SourceAirport = "APG"; +SELECT FlightNo FROM FLIGHTS WHERE DestAirport = "APG"; +SELECT T1.FlightNo FROM FLIGHTS AS T1 JOIN AIRPORTS AS T2 ON T1.SourceAirport = T2.AirportCode WHERE T2.City = "Aberdeen"; +SELECT T1.FlightNo FROM FLIGHTS AS T1 JOIN AIRPORTS AS T2 ON T1.DestAirport = T2.AirportCode WHERE T2.City = "Aberdeen"; +SELECT count(*) FROM Flights AS T1 JOIN Airports AS T2 ON T1.DestAirport = T2.AirportCode WHERE T2.city = "Aberdeen" OR T2.city = "Abilene"; +SELECT AirportName FROM Airports WHERE AirportCode NOT IN (SELECT SourceAirport FROM Flights UNION SELECT DestAirport FROM Flights); +SELECT count(*) FROM employee; +SELECT name FROM employee ORDER BY age; +SELECT count(*) , city FROM employee GROUP BY city; +SELECT city FROM employee WHERE age < 30 GROUP BY city HAVING count(*) > 1; +SELECT count(*) , LOCATION FROM shop GROUP BY LOCATION; +SELECT manager_name , district FROM shop ORDER BY number_products DESC LIMIT 1; +SELECT min(Number_products) , max(Number_products) FROM shop; +SELECT name , LOCATION , district FROM shop ORDER BY number_products DESC; +SELECT name FROM shop WHERE number_products > (SELECT avg(number_products) FROM shop); +SELECT t1.name FROM employee AS t1 JOIN evaluation AS t2 ON t1.Employee_ID = t2.Employee_ID GROUP BY t2.Employee_ID ORDER BY count(*) DESC LIMIT 1; +SELECT t1.name FROM employee AS t1 JOIN evaluation AS t2 ON t1.Employee_ID = t2.Employee_ID ORDER BY t2.bonus DESC LIMIT 1; +SELECT name FROM employee WHERE Employee_ID NOT IN (SELECT Employee_ID FROM evaluation); +SELECT t2.name FROM hiring AS t1 JOIN shop AS t2 ON t1.shop_id = t2.shop_id GROUP BY t1.shop_id ORDER BY count(*) DESC LIMIT 1; +SELECT name FROM shop WHERE shop_id NOT IN (SELECT shop_id FROM hiring); +SELECT count(*) , t2.name FROM hiring AS t1 JOIN shop AS t2 ON t1.shop_id = t2.shop_id GROUP BY t2.name; +SELECT sum(bonus) FROM evaluation; +SELECT * FROM hiring; +SELECT district FROM shop WHERE Number_products < 3000 INTERSECT SELECT district FROM shop WHERE Number_products > 10000; +SELECT count(DISTINCT LOCATION) FROM shop; +SELECT count(*) FROM Documents; +SELECT document_id , document_name , document_description FROM Documents; +SELECT document_name , template_id FROM Documents WHERE Document_Description LIKE "%w%"; +SELECT document_id , template_id , Document_Description FROM Documents WHERE document_name = "Robbin CV"; +SELECT count(DISTINCT template_id) FROM Documents; +SELECT count(*) FROM Documents AS T1 JOIN Templates AS T2 ON T1.Template_ID = T2.Template_ID WHERE T2.Template_Type_Code = 'PPT'; +SELECT template_id , count(*) FROM Documents GROUP BY template_id; +SELECT T1.template_id , T2.Template_Type_Code FROM Documents AS T1 JOIN Templates AS T2 ON T1.template_id = T2.template_id GROUP BY T1.template_id ORDER BY count(*) DESC LIMIT 1; +SELECT template_id FROM Documents GROUP BY template_id HAVING count(*) > 1; +SELECT template_id FROM Templates EXCEPT SELECT template_id FROM Documents; +SELECT count(*) FROM Templates; +SELECT template_id , version_number , template_type_code FROM Templates; +SELECT DISTINCT template_type_code FROM Templates; +SELECT template_id FROM Templates WHERE template_type_code = "PP" OR template_type_code = "PPT"; +SELECT count(*) FROM Templates WHERE template_type_code = "CV"; +SELECT version_number , template_type_code FROM Templates WHERE version_number > 5; +SELECT template_type_code , count(*) FROM Templates GROUP BY template_type_code; +SELECT template_type_code FROM Templates GROUP BY template_type_code ORDER BY count(*) DESC LIMIT 1; +SELECT template_type_code FROM Templates GROUP BY template_type_code HAVING count(*) < 3; +SELECT min(Version_Number) , template_type_code FROM Templates; +SELECT T1.template_type_code FROM Templates AS T1 JOIN Documents AS T2 ON T1.template_id = T2.template_id WHERE T2.document_name = "Data base"; +SELECT T2.document_name FROM Templates AS T1 JOIN Documents AS T2 ON T1.template_id = T2.template_id WHERE T1.template_type_code = "BK"; +SELECT T1.template_type_code , count(*) FROM Templates AS T1 JOIN Documents AS T2 ON T1.template_id = T2.template_id GROUP BY T1.template_type_code; +SELECT T1.template_type_code FROM Templates AS T1 JOIN Documents AS T2 ON T1.template_id = T2.template_id GROUP BY T1.template_type_code ORDER BY count(*) DESC LIMIT 1; +SELECT template_type_code FROM Templates EXCEPT SELECT template_type_code FROM Templates AS T1 JOIN Documents AS T2 ON T1.template_id = T2.template_id; +SELECT template_type_code , template_type_description FROM Ref_template_types; +SELECT template_type_description FROM Ref_template_types WHERE template_type_code = "AD"; +SELECT template_type_code FROM Ref_template_types WHERE template_type_description = "Book"; +SELECT DISTINCT T1.template_type_description FROM Ref_template_types AS T1 JOIN Templates AS T2 ON T1.template_type_code = T2.template_type_code JOIN Documents AS T3 ON T2.Template_ID = T3.template_ID; +SELECT T2.template_id FROM Ref_template_types AS T1 JOIN Templates AS T2 ON T1.template_type_code = T2.template_type_code WHERE T1.template_type_description = "Presentation"; +SELECT count(*) FROM Paragraphs; +SELECT count(*) FROM Paragraphs AS T1 JOIN Documents AS T2 ON T1.document_ID = T2.document_ID WHERE T2.document_name = 'Summer Show'; +select other_details from paragraphs where paragraph_text like 'korea'; +SELECT T1.paragraph_id , T1.paragraph_text FROM Paragraphs AS T1 JOIN Documents AS T2 ON T1.document_id = T2.document_id WHERE T2.Document_Name = 'Welcome to NY'; +SELECT T1.paragraph_text FROM Paragraphs AS T1 JOIN Documents AS T2 ON T1.document_id = T2.document_id WHERE T2.document_name = "Customer reviews"; +SELECT document_id , count(*) FROM Paragraphs GROUP BY document_id ORDER BY document_id; +SELECT T1.document_id , T2.document_name , count(*) FROM Paragraphs AS T1 JOIN Documents AS T2 ON T1.document_id = T2.document_id GROUP BY T1.document_id; +SELECT document_id FROM Paragraphs GROUP BY document_id HAVING count(*) >= 2; +SELECT T1.document_id , T2.document_name FROM Paragraphs AS T1 JOIN Documents AS T2 ON T1.document_id = T2.document_id GROUP BY T1.document_id ORDER BY count(*) DESC LIMIT 1; +SELECT document_id FROM Paragraphs GROUP BY document_id ORDER BY count(*) ASC LIMIT 1; +SELECT document_id FROM Paragraphs GROUP BY document_id HAVING count(*) BETWEEN 1 AND 2; +SELECT document_id FROM Paragraphs WHERE paragraph_text = 'Brazil' INTERSECT SELECT document_id FROM Paragraphs WHERE paragraph_text = 'Ireland'; +SELECT count(*) FROM teacher; +SELECT Name FROM teacher ORDER BY Age ASC; +SELECT Age , Hometown FROM teacher; +select name from teacher where hometown != "little lever urban district"; +SELECT Name FROM teacher WHERE Age = 32 OR Age = 33; +SELECT Hometown FROM teacher ORDER BY Age ASC LIMIT 1; +SELECT Hometown , COUNT(*) FROM teacher GROUP BY Hometown; +SELECT Hometown FROM teacher GROUP BY Hometown ORDER BY COUNT(*) DESC LIMIT 1; +SELECT Hometown FROM teacher GROUP BY Hometown HAVING COUNT(*) >= 2; +SELECT T3.Name , T2.Course FROM course_arrange AS T1 JOIN course AS T2 ON T1.Course_ID = T2.Course_ID JOIN teacher AS T3 ON T1.Teacher_ID = T3.Teacher_ID; +SELECT T3.Name , T2.Course FROM course_arrange AS T1 JOIN course AS T2 ON T1.Course_ID = T2.Course_ID JOIN teacher AS T3 ON T1.Teacher_ID = T3.Teacher_ID ORDER BY T3.Name; +SELECT T3.Name FROM course_arrange AS T1 JOIN course AS T2 ON T1.Course_ID = T2.Course_ID JOIN teacher AS T3 ON T1.Teacher_ID = T3.Teacher_ID WHERE T2.Course = "Math"; +SELECT T2.Name , COUNT(*) FROM course_arrange AS T1 JOIN teacher AS T2 ON T1.Teacher_ID = T2.Teacher_ID GROUP BY T2.Name; +SELECT T2.Name FROM course_arrange AS T1 JOIN teacher AS T2 ON T1.Teacher_ID = T2.Teacher_ID GROUP BY T2.Name HAVING COUNT(*) >= 2; +SELECT Name FROM teacher WHERE Teacher_id NOT IN (SELECT Teacher_id FROM course_arrange); +SELECT count(*) FROM visitor WHERE age < 30; +SELECT name FROM visitor WHERE Level_of_membership > 4 ORDER BY Level_of_membership DESC; +SELECT avg(age) FROM visitor WHERE Level_of_membership <= 4; +SELECT name , Level_of_membership FROM visitor WHERE Level_of_membership > 4 ORDER BY age DESC; +SELECT museum_id , name FROM museum ORDER BY num_of_staff DESC LIMIT 1; +SELECT avg(num_of_staff) FROM museum WHERE open_year < 2009; +SELECT Num_of_Staff , Open_Year FROM museum WHERE name = 'Plaza Museum'; +SELECT name FROM museum WHERE num_of_staff > (SELECT min(num_of_staff) FROM museum WHERE open_year > 2010); +SELECT t1.id , t1.name , t1.age FROM visitor AS t1 JOIN visit AS t2 ON t1.id = t2.visitor_id GROUP BY t1.id HAVING count(*) > 1; +SELECT t2.visitor_id , t1.name , t1.Level_of_membership FROM visitor AS t1 JOIN visit AS t2 ON t1.id = t2.visitor_id GROUP BY t2.visitor_id ORDER BY sum(t2.Total_spent) DESC LIMIT 1; +SELECT t2.Museum_ID , t1.name FROM museum AS t1 JOIN visit AS t2 ON t1.Museum_ID = t2.Museum_ID GROUP BY t2.Museum_ID ORDER BY count(*) DESC LIMIT 1; +SELECT name FROM museum WHERE Museum_ID NOT IN (SELECT museum_id FROM visit); +SELECT t1.name , t1.age FROM visitor AS t1 JOIN visit AS t2 ON t1.id = t2.visitor_id ORDER BY t2.num_of_ticket DESC LIMIT 1; +SELECT avg(num_of_ticket) , max(num_of_ticket) FROM visit; +SELECT sum(t2.Total_spent) FROM visitor AS t1 JOIN visit AS t2 ON t1.id = t2.visitor_id WHERE t1.Level_of_membership = 1; +SELECT t1.name FROM visitor AS t1 JOIN visit AS t2 ON t1.id = t2.visitor_id JOIN museum AS t3 ON t3.Museum_ID = t2.Museum_ID WHERE t3.open_year < 2009 INTERSECT SELECT t1.name FROM visitor AS t1 JOIN visit AS t2 ON t1.id = t2.visitor_id JOIN museum AS t3 ON t3.Museum_ID = t2.Museum_ID WHERE t3.open_year > 2011; +SELECT count(*) FROM visitor WHERE id NOT IN (SELECT t2.visitor_id FROM museum AS t1 JOIN visit AS t2 ON t1.Museum_ID = t2.Museum_ID WHERE t1.open_year > 2010); +SELECT count(*) FROM museum WHERE open_year > 2013 OR open_year < 2008; +SELECT count(*) FROM players; +SELECT count(*) FROM matches; +SELECT first_name , birth_date FROM players WHERE country_code = 'USA'; +SELECT avg(loser_age) , avg(winner_age) FROM matches; +SELECT avg(winner_rank) FROM matches; +SELECT min(loser_rank) FROM matches; +SELECT count(DISTINCT country_code) FROM players; +SELECT count(DISTINCT loser_name) FROM matches; +SELECT tourney_name FROM matches GROUP BY tourney_name HAVING count(*) > 10; +SELECT winner_name FROM matches WHERE YEAR = 2013 INTERSECT SELECT winner_name FROM matches WHERE YEAR = 2016; +SELECT count(*) FROM matches WHERE YEAR = 2013 OR YEAR = 2016; +SELECT T1.country_code , T1.first_name FROM players AS T1 JOIN matches AS T2 ON T1.player_id = T2.winner_id WHERE T2.tourney_name = 'WTA Championships' INTERSECT SELECT T1.country_code , T1.first_name FROM players AS T1 JOIN matches AS T2 ON T1.player_id = T2.winner_id WHERE T2.tourney_name = 'Australian Open'; +SELECT first_name , country_code FROM players ORDER BY birth_date LIMIT 1; +SELECT first_name , last_name FROM players ORDER BY birth_date; +SELECT first_name , last_name FROM players WHERE hand = 'L' ORDER BY birth_date; +SELECT T1.country_code , T1.first_name FROM players AS T1 JOIN rankings AS T2 ON T1.player_id = T2.player_id ORDER BY T2.tours DESC LIMIT 1; +SELECT YEAR FROM matches GROUP BY YEAR ORDER BY count(*) DESC LIMIT 1; +SELECT winner_name , winner_rank_points FROM matches GROUP BY winner_name ORDER BY count(*) DESC LIMIT 1; +SELECT winner_name FROM matches WHERE tourney_name = 'Australian Open' ORDER BY winner_rank_points DESC LIMIT 1; +SELECT winner_name , loser_name FROM matches ORDER BY minutes DESC LIMIT 1; +SELECT avg(ranking) , T1.first_name FROM players AS T1 JOIN rankings AS T2 ON T1.player_id = T2.player_id GROUP BY T1.first_name; +SELECT sum(ranking_points) , T1.first_name FROM players AS T1 JOIN rankings AS T2 ON T1.player_id = T2.player_id GROUP BY T1.first_name; +SELECT count(*) , country_code FROM players GROUP BY country_code; +SELECT country_code FROM players GROUP BY country_code ORDER BY count(*) DESC LIMIT 1; +SELECT country_code FROM players GROUP BY country_code HAVING count(*) > 50; +SELECT sum(tours) , ranking_date FROM rankings GROUP BY ranking_date; +SELECT count(*) , YEAR FROM matches GROUP BY YEAR; +SELECT DISTINCT winner_name , winner_rank FROM matches ORDER BY winner_age LIMIT 3; +SELECT count(DISTINCT winner_name) FROM matches WHERE tourney_name = 'WTA Championships' AND winner_hand = 'L'; +SELECT T1.first_name , T1.country_code , T1.birth_date FROM players AS T1 JOIN matches AS T2 ON T1.player_id = T2.winner_id ORDER BY T2.winner_rank_points DESC LIMIT 1; +SELECT count(*) , hand FROM players GROUP BY hand; +SELECT count(*) FROM ship WHERE disposition_of_ship = 'Captured'; +SELECT name , tonnage FROM ship ORDER BY name DESC; +SELECT name , date FROM battle; +SELECT max(killed) , min(killed) FROM death; +SELECT avg(injured) FROM death; +SELECT T1.killed , T1.injured FROM death AS T1 JOIN ship AS t2 ON T1.caused_by_ship_id = T2.id WHERE T2.tonnage = 't'; +SELECT name , RESULT FROM battle WHERE bulgarian_commander != 'Boril'; +SELECT DISTINCT T1.id , T1.name FROM battle AS T1 JOIN ship AS T2 ON T1.id = T2.lost_in_battle WHERE T2.ship_type = 'Brig'; +SELECT T1.id , T1.name FROM battle AS T1 JOIN ship AS T2 ON T1.id = T2.lost_in_battle JOIN death AS T3 ON T2.id = T3.caused_by_ship_id GROUP BY T1.id HAVING sum(T3.killed) > 10; +SELECT T2.id , T2.name FROM death AS T1 JOIN ship AS t2 ON T1.caused_by_ship_id = T2.id GROUP BY T2.id ORDER BY count(*) DESC LIMIT 1; +SELECT name FROM battle WHERE bulgarian_commander = 'Kaloyan' AND latin_commander = 'Baldwin I'; +SELECT count(DISTINCT RESULT) FROM battle; +SELECT T1.name , T1.date FROM battle AS T1 JOIN ship AS T2 ON T1.id = T2.lost_in_battle WHERE T2.name = 'Lettice' INTERSECT SELECT T1.name , T1.date FROM battle AS T1 JOIN ship AS T2 ON T1.id = T2.lost_in_battle WHERE T2.name = 'HMS Atalanta'; +SELECT name , RESULT , bulgarian_commander FROM battle EXCEPT SELECT T1.name , T1.result , T1.bulgarian_commander FROM battle AS T1 JOIN ship AS T2 ON T1.id = T2.lost_in_battle WHERE T2.location = 'English Channel'; +SELECT note FROM death WHERE note LIKE '%East%'; +SELECT line_1 , line_2 FROM addresses; +SELECT count(*) FROM Courses; +SELECT course_description FROM Courses WHERE course_name = 'math'; +SELECT zip_postcode FROM Addresses WHERE city = 'Port Chelsea'; +SELECT T2.department_name , T1.department_id FROM Degree_Programs AS T1 JOIN Departments AS T2 ON T1.department_id = T2.department_id GROUP BY T1.department_id ORDER BY count(*) DESC LIMIT 1; +select t2.department_name , t1.department_id from degree_programs as t1 join departments as t2 on t1.department_id = t2.department_id group by t1.department_id order by count(*) desc limit 1; +SELECT count(DISTINCT department_id) FROM Degree_Programs; +SELECT count(DISTINCT degree_summary_name) FROM Degree_Programs; +SELECT count(*) FROM Departments AS T1 JOIN Degree_Programs AS T2 ON T1.department_id = T2.department_id WHERE T1.department_name = 'engineer'; +SELECT section_name , section_description FROM Sections; +SELECT T1.course_name , T1.course_id FROM Courses AS T1 JOIN Sections AS T2 ON T1.course_id = T2.course_id GROUP BY T1.course_id HAVING count(*) <= 2; +SELECT section_name FROM Sections ORDER BY section_name DESC; +SELECT T1.semester_name , T1.semester_id FROM Semesters AS T1 JOIN Student_Enrolment AS T2 ON T1.semester_id = T2.semester_id GROUP BY T1.semester_id ORDER BY count(*) DESC LIMIT 1; +SELECT department_description FROM Departments WHERE department_name LIKE '%computer%'; +SELECT T1.first_name , T1.middle_name , T1.last_name , T1.student_id FROM Students AS T1 JOIN Student_Enrolment AS T2 ON T1.student_id = T2.student_id GROUP BY T1.student_id HAVING count(*) = 2; +SELECT DISTINCT T1.first_name , T1.middle_name , T1.last_name FROM Students AS T1 JOIN Student_Enrolment AS T2 ON T1.student_id = T2.student_id JOIN Degree_Programs AS T3 ON T2.degree_program_id = T3.degree_program_id WHERE T3.degree_summary_name = 'Bachelor'; +SELECT T1.degree_summary_name FROM Degree_Programs AS T1 JOIN Student_Enrolment AS T2 ON T1.degree_program_id = T2.degree_program_id GROUP BY T1.degree_summary_name ORDER BY count(*) DESC LIMIT 1; +SELECT T1.degree_program_id , T1.degree_summary_name FROM Degree_Programs AS T1 JOIN Student_Enrolment AS T2 ON T1.degree_program_id = T2.degree_program_id GROUP BY T1.degree_program_id ORDER BY count(*) DESC LIMIT 1; +SELECT T1.student_id , T1.first_name , T1.middle_name , T1.last_name , count(*) , T1.student_id FROM Students AS T1 JOIN Student_Enrolment AS T2 ON T1.student_id = T2.student_id GROUP BY T1.student_id ORDER BY count(*) DESC LIMIT 1; +SELECT semester_name FROM Semesters WHERE semester_id NOT IN( SELECT semester_id FROM Student_Enrolment ); +SELECT DISTINCT T1.course_name FROM Courses AS T1 JOIN Student_Enrolment_Courses AS T2 ON T1.course_id = T2.course_id; +SELECT T1.course_name FROM Courses AS T1 JOIN Student_Enrolment_Courses AS T2 ON T1.course_id = T2.course_id GROUP BY T1.course_name ORDER BY count(*) DESC LIMIT 1; +SELECT T1.last_name FROM Students AS T1 JOIN Addresses AS T2 ON T1.current_address_id = T2.address_id WHERE T2.state_province_county = 'NorthCarolina' EXCEPT SELECT DISTINCT T3.last_name FROM Students AS T3 JOIN Student_Enrolment AS T4 ON T3.student_id = T4.student_id; +SELECT T2.transcript_date , T1.transcript_id FROM Transcript_Contents AS T1 JOIN Transcripts AS T2 ON T1.transcript_id = T2.transcript_id GROUP BY T1.transcript_id HAVING count(*) >= 2; +SELECT cell_mobile_number FROM Students WHERE first_name = 'Timmothy' AND last_name = 'Ward'; +select cell_mobile_number from students where first_name = 'timmothy' and last_name = 'ward'; +SELECT first_name , middle_name , last_name FROM Students ORDER BY date_first_registered ASC LIMIT 1; +SELECT first_name , middle_name , last_name FROM Students ORDER BY date_left ASC LIMIT 1; +SELECT first_name FROM Students WHERE current_address_id != permanent_address_id; +SELECT T1.address_id , T1.line_1 , T1.line_2 FROM Addresses AS T1 JOIN Students AS T2 ON T1.address_id = T2.current_address_id GROUP BY T1.address_id ORDER BY count(*) DESC LIMIT 1; +SELECT avg(transcript_date) FROM Transcripts; +SELECT transcript_date , other_details FROM Transcripts ORDER BY transcript_date ASC LIMIT 1; +SELECT count(*) FROM Transcripts; +SELECT transcript_date FROM Transcripts ORDER BY transcript_date DESC LIMIT 1; +SELECT count(*) , student_course_id FROM Transcript_Contents GROUP BY student_course_id ORDER BY count(*) DESC LIMIT 1; +SELECT T2.transcript_date , T1.transcript_id FROM Transcript_Contents AS T1 JOIN Transcripts AS T2 ON T1.transcript_id = T2.transcript_id GROUP BY T1.transcript_id ORDER BY count(*) ASC LIMIT 1; +SELECT DISTINCT T2.semester_id FROM Degree_Programs AS T1 JOIN Student_Enrolment AS T2 ON T1.degree_program_id = T2.degree_program_id WHERE degree_summary_name = 'Master' INTERSECT SELECT DISTINCT T2.semester_id FROM Degree_Programs AS T1 JOIN Student_Enrolment AS T2 ON T1.degree_program_id = T2.degree_program_id WHERE degree_summary_name = 'Bachelor'; +SELECT count(DISTINCT current_address_id) FROM Students; +SELECT other_student_details FROM Students ORDER BY other_student_details DESC; +SELECT section_description FROM Sections WHERE section_name = 'h'; +select t1.first_name from students as t1 join addresses as t2 on t1.permanent_address_id = t2.address_id where t2.country = 'haiti' or t1.cell_mobile_number = '09700166582'; +SELECT Title FROM Cartoon ORDER BY title; +SELECT title , Directed_by FROM Cartoon ORDER BY Original_air_date; +SELECT LANGUAGE , count(*) FROM TV_Channel GROUP BY LANGUAGE; +SELECT Episode FROM TV_series ORDER BY rating; +SELECT count(*) , Directed_by FROM cartoon GROUP BY Directed_by; +select production_code , channel from cartoon order by original_air_date desc limit 1; +SELECT package_option , series_name FROM TV_Channel WHERE hight_definition_TV = "yes"; +SELECT T1.country FROM TV_Channel AS T1 JOIN cartoon AS T2 ON T1.id = T2.Channel WHERE T2.written_by = 'Todd Casey'; +SELECT country FROM TV_Channel EXCEPT SELECT T1.country FROM TV_Channel AS T1 JOIN cartoon AS T2 ON T1.id = T2.Channel WHERE T2.written_by = 'Todd Casey'; +SELECT T1.series_name , T1.country FROM TV_Channel AS T1 JOIN cartoon AS T2 ON T1.id = T2.Channel WHERE T2.directed_by = 'Michael Chang' INTERSECT SELECT T1.series_name , T1.country FROM TV_Channel AS T1 JOIN cartoon AS T2 ON T1.id = T2.Channel WHERE T2.directed_by = 'Ben Jones'; +SELECT Pixel_aspect_ratio_PAR , country FROM tv_channel WHERE LANGUAGE != 'English'; +SELECT id FROM tv_channel GROUP BY country HAVING count(*) > 2; +SELECT id FROM TV_Channel EXCEPT SELECT channel FROM cartoon WHERE directed_by = 'Ben Jones'; +SELECT package_option FROM TV_Channel WHERE id NOT IN (SELECT channel FROM cartoon WHERE directed_by = 'Ben Jones'); +SELECT count(*) FROM poker_player; +SELECT Earnings FROM poker_player ORDER BY Earnings DESC; +SELECT Final_Table_Made , Best_Finish FROM poker_player; +SELECT avg(Earnings) FROM poker_player; +SELECT Money_Rank FROM poker_player ORDER BY Earnings DESC LIMIT 1; +SELECT max(Final_Table_Made) FROM poker_player WHERE Earnings < 200000; +SELECT T1.Name FROM people AS T1 JOIN poker_player AS T2 ON T1.People_ID = T2.People_ID; +SELECT T1.Name FROM people AS T1 JOIN poker_player AS T2 ON T1.People_ID = T2.People_ID WHERE T2.Earnings > 300000; +SELECT T1.Name FROM people AS T1 JOIN poker_player AS T2 ON T1.People_ID = T2.People_ID ORDER BY T2.Final_Table_Made; +SELECT T1.Birth_Date FROM people AS T1 JOIN poker_player AS T2 ON T1.People_ID = T2.People_ID ORDER BY T2.Earnings ASC LIMIT 1; +SELECT T2.Money_Rank FROM people AS T1 JOIN poker_player AS T2 ON T1.People_ID = T2.People_ID ORDER BY T1.Height DESC LIMIT 1; +SELECT avg(T2.Earnings) FROM people AS T1 JOIN poker_player AS T2 ON T1.People_ID = T2.People_ID WHERE T1.Height > 200; +SELECT T1.Name FROM people AS T1 JOIN poker_player AS T2 ON T1.People_ID = T2.People_ID ORDER BY T2.Earnings DESC; +SELECT Nationality , COUNT(*) FROM people GROUP BY Nationality; +SELECT Nationality FROM people GROUP BY Nationality ORDER BY COUNT(*) DESC LIMIT 1; +SELECT Nationality FROM people GROUP BY Nationality HAVING COUNT(*) >= 2; +SELECT Name , Birth_Date FROM people ORDER BY Name ASC; +SELECT Name FROM people WHERE Nationality != "Russia"; +SELECT Name FROM people WHERE People_ID NOT IN (SELECT People_ID FROM poker_player); +SELECT count(DISTINCT Nationality) FROM people; +SELECT count(*) FROM area_code_state; +SELECT contestant_number , contestant_name FROM contestants ORDER BY contestant_name DESC; +SELECT vote_id , phone_number , state FROM votes; +SELECT max(area_code) , min(area_code) FROM area_code_state; +SELECT max(created) FROM votes WHERE state = 'CA'; +SELECT contestant_name FROM contestants WHERE contestant_name != 'Jessie Alloway'; +SELECT DISTINCT state , created FROM votes; +SELECT T1.contestant_number , T1.contestant_name FROM contestants AS T1 JOIN votes AS T2 ON T1.contestant_number = T2.contestant_number GROUP BY T1.contestant_number HAVING count(*) >= 2; +SELECT T1.contestant_number , T1.contestant_name FROM contestants AS T1 JOIN votes AS T2 ON T1.contestant_number = T2.contestant_number GROUP BY T1.contestant_number ORDER BY count(*) ASC LIMIT 1; +SELECT count(*) FROM votes WHERE state = 'NY' OR state = 'CA'; +SELECT count(*) FROM contestants WHERE contestant_number NOT IN ( SELECT contestant_number FROM votes ); +SELECT T1.area_code FROM area_code_state AS T1 JOIN votes AS T2 ON T1.state = T2.state GROUP BY T1.area_code ORDER BY count(*) DESC LIMIT 1; +SELECT T2.created , T2.state , T2.phone_number FROM contestants AS T1 JOIN votes AS T2 ON T1.contestant_number = T2.contestant_number WHERE T1.contestant_name = 'Tabatha Gehling'; +SELECT T3.area_code FROM contestants AS T1 JOIN votes AS T2 ON T1.contestant_number = T2.contestant_number JOIN area_code_state AS T3 ON T2.state = T3.state WHERE T1.contestant_name = 'Tabatha Gehling' INTERSECT SELECT T3.area_code FROM contestants AS T1 JOIN votes AS T2 ON T1.contestant_number = T2.contestant_number JOIN area_code_state AS T3 ON T2.state = T3.state WHERE T1.contestant_name = 'Kelly Clauss'; +select contestant_name from contestants where contestant_name like "%al%"; +SELECT Name FROM country WHERE IndepYear > 1950; +SELECT count(*) FROM country WHERE GovernmentForm = "Republic"; +SELECT sum(SurfaceArea) FROM country WHERE Region = "Caribbean"; +SELECT Continent FROM country WHERE Name = "Anguilla"; +SELECT Region FROM country AS T1 JOIN city AS T2 ON T1.Code = T2.CountryCode WHERE T2.Name = "Kabul"; +SELECT T2.Language FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.Name = "Aruba" ORDER BY Percentage DESC LIMIT 1; +SELECT Population , LifeExpectancy FROM country WHERE Name = "Brazil"; +SELECT Population , Region FROM country WHERE Name = "Angola"; +SELECT avg(LifeExpectancy) FROM country WHERE Region = "Central Africa"; +SELECT Name FROM country WHERE Continent = "Asia" ORDER BY LifeExpectancy LIMIT 1; +SELECT sum(Population) , max(GNP) FROM country WHERE Continent = "Asia"; +SELECT avg(LifeExpectancy) FROM country WHERE Continent = "Africa" AND GovernmentForm = "Republic"; +SELECT sum(SurfaceArea) FROM country WHERE Continent = "Asia" OR Continent = "Europe"; +SELECT sum(Population) FROM city WHERE District = "Gelderland"; +SELECT avg(GNP) , sum(population) FROM country WHERE GovernmentForm = "US Territory"; +SELECT count(DISTINCT LANGUAGE) FROM countrylanguage; +SELECT count(DISTINCT GovernmentForm) FROM country WHERE Continent = "Africa"; +SELECT COUNT(T2.Language) FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.Name = "Aruba"; +SELECT COUNT(*) FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.Name = "Afghanistan" AND IsOfficial = "T"; +SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode GROUP BY T1.Name ORDER BY COUNT(*) DESC LIMIT 1; +SELECT T1.Continent FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode GROUP BY T1.Continent ORDER BY COUNT(*) DESC LIMIT 1; +SELECT COUNT(*) FROM (SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "English" INTERSECT SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "Dutch"); +SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "English" INTERSECT SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "French"; +SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "English" AND T2.IsOfficial = "T" INTERSECT SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "French" AND T2.IsOfficial = "T"; +SELECT COUNT( DISTINCT Continent) FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "Chinese"; +SELECT DISTINCT T1.Region FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "English" OR T2.Language = "Dutch"; +select t1.name from country as t1 join countrylanguage as t2 on t1.code = t2.countrycode where t2.language = "english" and isofficial = "t" union select t1.name from country as t1 join countrylanguage as t2 on t1.code = t2.countrycode where t2.language = "dutch" and isofficial = "t"; +SELECT * FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "English" AND IsOfficial = "T" UNION SELECT * FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "Dutch" AND IsOfficial = "T"; +SELECT T2.Language FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.Continent = "Asia" GROUP BY T2.Language ORDER BY COUNT (*) DESC LIMIT 1; +SELECT T2.Language FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.GovernmentForm = "Republic" GROUP BY T2.Language HAVING COUNT(*) = 1; +SELECT T1.Name , T1.Population FROM city AS T1 JOIN countrylanguage AS T2 ON T1.CountryCode = T2.CountryCode WHERE T2.Language = "English" ORDER BY T1.Population DESC LIMIT 1; +SELECT Name , Population , LifeExpectancy FROM country WHERE Continent = "Asia" ORDER BY SurfaceArea DESC LIMIT 1; +SELECT avg(LifeExpectancy) FROM country WHERE Name NOT IN (SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "English" AND T2.IsOfficial = "T"); +SELECT sum(Population) FROM country WHERE Name NOT IN (SELECT T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = "English"); +SELECT T2.Language FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.HeadOfState = "Beatrix" AND T2.IsOfficial = "T"; +SELECT count(DISTINCT T2.Language) FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode WHERE IndepYear < 1930 AND T2.IsOfficial = "T"; +SELECT Name FROM country WHERE SurfaceArea > (SELECT min(SurfaceArea) FROM country WHERE Continent = "Europe"); +SELECT Name FROM country WHERE Continent = "Africa" AND population < (SELECT max(population) FROM country WHERE Continent = "Asia"); +SELECT Name FROM country WHERE Continent = "Africa" AND population < (SELECT min(population) FROM country WHERE Continent = "Asia"); +SELECT Name FROM country WHERE Continent = "Asia" AND population > (SELECT max(population) FROM country WHERE Continent = "Africa"); +SELECT Name FROM country WHERE Continent = "Asia" AND population > (SELECT min(population) FROM country WHERE Continent = "Africa"); +SELECT CountryCode FROM countrylanguage EXCEPT SELECT CountryCode FROM countrylanguage WHERE LANGUAGE = "English"; +SELECT DISTINCT CountryCode FROM countrylanguage WHERE LANGUAGE != "English"; +SELECT Code FROM country WHERE GovernmentForm != "Republic" EXCEPT SELECT CountryCode FROM countrylanguage WHERE LANGUAGE = "English"; +SELECT DISTINCT T2.Name FROM country AS T1 JOIN city AS T2 ON T2.CountryCode = T1.Code WHERE T1.Continent = 'Europe' AND T1.Name NOT IN (SELECT T3.Name FROM country AS T3 JOIN countrylanguage AS T4 ON T3.Code = T4.CountryCode WHERE T4.IsOfficial = 'T' AND T4.Language = 'English'); +select distinct t3.name from country as t1 join countrylanguage as t2 on t1.code = t2.countrycode join city as t3 on t1.code = t3.countrycode where t2.isofficial = 't' and t2.language = 'chinese' and t1.continent = "asia"; +SELECT DISTINCT T3.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode JOIN city AS T3 ON T1.Code = T3.CountryCode WHERE T2.IsOfficial = 'T' AND T2.Language = 'Chinese' AND T1.Continent = "Asia"; +SELECT Name , SurfaceArea , IndepYear FROM country ORDER BY Population LIMIT 1; +SELECT Name , population , HeadOfState FROM country ORDER BY SurfaceArea DESC LIMIT 1; +SELECT COUNT(T2.Language) , T1.Name FROM country AS T1 JOIN countrylanguage AS T2 ON T1.Code = T2.CountryCode GROUP BY T1.Name HAVING COUNT(*) > 2; +SELECT count(*) , District FROM city WHERE Population > (SELECT avg(Population) FROM city) GROUP BY District; +SELECT sum(Population) , GovernmentForm FROM country GROUP BY GovernmentForm HAVING avg(LifeExpectancy) > 72; +SELECT sum(Population) , avg(LifeExpectancy) , Continent FROM country GROUP BY Continent HAVING avg(LifeExpectancy) < 72; +SELECT Name , SurfaceArea FROM country ORDER BY SurfaceArea DESC LIMIT 5; +SELECT Name FROM country ORDER BY Population DESC LIMIT 3; +SELECT Name FROM country ORDER BY Population ASC LIMIT 3; +SELECT count(*) FROM country WHERE continent = "Asia"; +SELECT Name FROM country WHERE continent = "Europe" AND Population = "80000"; +select sum(population) , avg(surfacearea) from country where continent = "north america" and surfacearea > 3000; +SELECT name FROM city WHERE Population BETWEEN 160000 AND 900000; +select name from city where population between 160000 and 900000; +SELECT LANGUAGE FROM countrylanguage GROUP BY LANGUAGE ORDER BY count(*) DESC LIMIT 1; +SELECT LANGUAGE , CountryCode , max(Percentage) FROM countrylanguage GROUP BY CountryCode; +SELECT count(*) , max(Percentage) FROM countrylanguage WHERE LANGUAGE = "Spanish" GROUP BY CountryCode; +SELECT CountryCode , max(Percentage) FROM countrylanguage WHERE LANGUAGE = "Spanish" GROUP BY CountryCode; +SELECT count(*) FROM conductor; +SELECT Name FROM conductor ORDER BY Age ASC; +SELECT Name FROM conductor WHERE Nationality != 'USA'; +SELECT Record_Company FROM orchestra ORDER BY Year_of_Founded DESC; +SELECT avg(Attendance) FROM SHOW; +SELECT max(SHARE) , min(SHARE) FROM performance WHERE TYPE != "Live final"; +SELECT count(DISTINCT Nationality) FROM conductor; +SELECT Name FROM conductor ORDER BY Year_of_Work DESC; +SELECT Name FROM conductor ORDER BY Year_of_Work DESC LIMIT 1; +SELECT T1.Name , T2.Orchestra FROM conductor AS T1 JOIN orchestra AS T2 ON T1.Conductor_ID = T2.Conductor_ID; +SELECT T1.Name FROM conductor AS T1 JOIN orchestra AS T2 ON T1.Conductor_ID = T2.Conductor_ID GROUP BY T2.Conductor_ID HAVING COUNT(*) > 1; +SELECT T1.Name FROM conductor AS T1 JOIN orchestra AS T2 ON T1.Conductor_ID = T2.Conductor_ID GROUP BY T2.Conductor_ID ORDER BY COUNT(*) DESC LIMIT 1; +SELECT T1.Name FROM conductor AS T1 JOIN orchestra AS T2 ON T1.Conductor_ID = T2.Conductor_ID WHERE Year_of_Founded > 2008; +SELECT Record_Company , COUNT(*) FROM orchestra GROUP BY Record_Company; +SELECT Major_Record_Format FROM orchestra GROUP BY Major_Record_Format ORDER BY COUNT(*) ASC; +SELECT Record_Company FROM orchestra GROUP BY Record_Company ORDER BY COUNT(*) DESC LIMIT 1; +SELECT Orchestra FROM orchestra WHERE Orchestra_ID NOT IN (SELECT Orchestra_ID FROM performance); +SELECT Record_Company FROM orchestra WHERE Year_of_Founded < 2003 INTERSECT SELECT Record_Company FROM orchestra WHERE Year_of_Founded > 2003; +SELECT COUNT(*) FROM orchestra WHERE Major_Record_Format = "CD" OR Major_Record_Format = "DVD"; +SELECT Year_of_Founded FROM orchestra AS T1 JOIN performance AS T2 ON T1.Orchestra_ID = T2.Orchestra_ID GROUP BY T2.Orchestra_ID HAVING COUNT(*) > 1; +SELECT count(*) FROM Highschooler; +SELECT name , grade FROM Highschooler; +SELECT grade FROM Highschooler; +SELECT grade FROM Highschooler WHERE name = "Kyle"; +SELECT name FROM Highschooler WHERE grade = 10; +SELECT ID FROM Highschooler WHERE name = "Kyle"; +SELECT count(*) FROM Highschooler WHERE grade = 9 OR grade = 10; +SELECT grade , count(*) FROM Highschooler GROUP BY grade; +SELECT grade FROM Highschooler GROUP BY grade ORDER BY count(*) DESC LIMIT 1; +SELECT grade FROM Highschooler GROUP BY grade HAVING count(*) >= 4; +SELECT student_id , count(*) FROM Friend GROUP BY student_id; +SELECT T2.name , count(*) FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id = T2.id GROUP BY T1.student_id; +SELECT T2.name FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id = T2.id GROUP BY T1.student_id ORDER BY count(*) DESC LIMIT 1; +SELECT T2.name FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id = T2.id GROUP BY T1.student_id HAVING count(*) >= 3; +SELECT T3.name FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id = T2.id JOIN Highschooler AS T3 ON T1.friend_id = T3.id WHERE T2.name = "Kyle"; +SELECT count(*) FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id = T2.id WHERE T2.name = "Kyle"; +SELECT id FROM Highschooler EXCEPT SELECT student_id FROM Friend; +SELECT name FROM Highschooler EXCEPT SELECT T2.name FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id = T2.id; +SELECT student_id FROM Friend INTERSECT SELECT liked_id FROM Likes; +SELECT T2.name FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id = T2.id INTERSECT SELECT T2.name FROM Likes AS T1 JOIN Highschooler AS T2 ON T1.liked_id = T2.id; +SELECT student_id , count(*) FROM Likes GROUP BY student_id; +SELECT T2.name , count(*) FROM Likes AS T1 JOIN Highschooler AS T2 ON T1.student_id = T2.id GROUP BY T1.student_id; +SELECT T2.name FROM Likes AS T1 JOIN Highschooler AS T2 ON T1.student_id = T2.id GROUP BY T1.student_id ORDER BY count(*) DESC LIMIT 1; +SELECT T2.name FROM Likes AS T1 JOIN Highschooler AS T2 ON T1.student_id = T2.id GROUP BY T1.student_id HAVING count(*) >= 2; +SELECT T2.name FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id = T2.id WHERE T2.grade > 5 GROUP BY T1.student_id HAVING count(*) >= 2; +SELECT count(*) FROM Likes AS T1 JOIN Highschooler AS T2 ON T1.student_id = T2.id WHERE T2.name = "Kyle"; +SELECT avg(grade) FROM Highschooler WHERE id IN (SELECT T1.student_id FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id = T2.id); +SELECT min(grade) FROM Highschooler WHERE id NOT IN (SELECT T1.student_id FROM Friend AS T1 JOIN Highschooler AS T2 ON T1.student_id = T2.id); +SELECT state FROM Owners INTERSECT SELECT state FROM Professionals; +SELECT avg(age) FROM Dogs WHERE dog_id IN ( SELECT dog_id FROM Treatments ); +SELECT professional_id , last_name , cell_number FROM Professionals WHERE state = 'Indiana' UNION SELECT T1.professional_id , T1.last_name , T1.cell_number FROM Professionals AS T1 JOIN Treatments AS T2 ON T1.professional_id = T2.professional_id GROUP BY T1.professional_id HAVING count(*) > 2; +select name from dogs where dog_id not in ( select dog_id from treatments group by dog_id having sum(cost_of_treatment) > 1000 ); +SELECT first_name FROM Professionals UNION SELECT first_name FROM Owners EXCEPT SELECT name FROM Dogs; +SELECT professional_id , role_code , email_address FROM Professionals EXCEPT SELECT T1.professional_id , T1.role_code , T1.email_address FROM Professionals AS T1 JOIN Treatments AS T2 ON T1.professional_id = T2.professional_id; +SELECT T1.owner_id , T2.first_name , T2.last_name FROM Dogs AS T1 JOIN Owners AS T2 ON T1.owner_id = T2.owner_id GROUP BY T1.owner_id ORDER BY count(*) DESC LIMIT 1; +SELECT T1.professional_id , T1.role_code , T1.first_name FROM Professionals AS T1 JOIN Treatments AS T2 ON T1.professional_id = T2.professional_id GROUP BY T1.professional_id HAVING count(*) >= 2; +SELECT T1.breed_name FROM Breeds AS T1 JOIN Dogs AS T2 ON T1.breed_code = T2.breed_code GROUP BY T1.breed_name ORDER BY count(*) DESC LIMIT 1; +SELECT T1.owner_id , T1.last_name FROM Owners AS T1 JOIN Dogs AS T2 ON T1.owner_id = T2.owner_id JOIN Treatments AS T3 ON T2.dog_id = T3.dog_id GROUP BY T1.owner_id ORDER BY count(*) DESC LIMIT 1; +SELECT T1.treatment_type_description FROM Treatment_types AS T1 JOIN Treatments AS T2 ON T1.treatment_type_code = T2.treatment_type_code GROUP BY T1.treatment_type_code ORDER BY sum(cost_of_treatment) ASC LIMIT 1; +SELECT T1.owner_id , T1.zip_code FROM Owners AS T1 JOIN Dogs AS T2 ON T1.owner_id = T2.owner_id JOIN Treatments AS T3 ON T2.dog_id = T3.dog_id GROUP BY T1.owner_id ORDER BY sum(T3.cost_of_treatment) DESC LIMIT 1; +SELECT T1.professional_id , T1.cell_number FROM Professionals AS T1 JOIN Treatments AS T2 ON T1.professional_id = T2.professional_id GROUP BY T1.professional_id HAVING count(*) >= 2; +SELECT DISTINCT T1.first_name , T1.last_name FROM Professionals AS T1 JOIN Treatments AS T2 WHERE cost_of_treatment < ( SELECT avg(cost_of_treatment) FROM Treatments ); +SELECT T1.date_of_treatment , T2.first_name FROM Treatments AS T1 JOIN Professionals AS T2 ON T1.professional_id = T2.professional_id; +SELECT T1.cost_of_treatment , T2.treatment_type_description FROM Treatments AS T1 JOIN treatment_types AS T2 ON T1.treatment_type_code = T2.treatment_type_code; +SELECT T1.first_name , T1.last_name , T2.size_code FROM Owners AS T1 JOIN Dogs AS T2 ON T1.owner_id = T2.owner_id; +SELECT T1.first_name , T2.name FROM Owners AS T1 JOIN Dogs AS T2 ON T1.owner_id = T2.owner_id; +SELECT T1.name , T2.date_of_treatment FROM Dogs AS T1 JOIN Treatments AS T2 ON T1.dog_id = T2.dog_id WHERE T1.breed_code = ( SELECT breed_code FROM Dogs GROUP BY breed_code ORDER BY count(*) ASC LIMIT 1 ); +SELECT T1.first_name , T2.name FROM Owners AS T1 JOIN Dogs AS T2 ON T1.owner_id = T2.owner_id WHERE T1.state = 'Virginia'; +SELECT DISTINCT T1.date_arrived , T1.date_departed FROM Dogs AS T1 JOIN Treatments AS T2 ON T1.dog_id = T2.dog_id; +SELECT T1.last_name FROM Owners AS T1 JOIN Dogs AS T2 ON T1.owner_id = T2.owner_id WHERE T2.age = ( SELECT max(age) FROM Dogs ); +SELECT email_address FROM Professionals WHERE state = 'Hawaii' OR state = 'Wisconsin'; +SELECT date_arrived , date_departed FROM Dogs; +SELECT count(DISTINCT dog_id) FROM Treatments; +SELECT count(DISTINCT professional_id) FROM Treatments; +SELECT role_code , street , city , state FROM professionals WHERE city LIKE '%West%'; +SELECT first_name , last_name , email_address FROM Owners WHERE state LIKE '%North%'; +SELECT count(*) FROM Dogs WHERE age < ( SELECT avg(age) FROM Dogs ); +SELECT cost_of_treatment FROM Treatments ORDER BY date_of_treatment DESC LIMIT 1; +SELECT count(*) FROM Dogs WHERE dog_id NOT IN ( SELECT dog_id FROM Treatments ); +select count(*) from dogs where dog_id not in ( select dog_id from treatments ); +SELECT count(*) FROM Owners WHERE owner_id NOT IN ( SELECT owner_id FROM Dogs ); +SELECT count(*) FROM Professionals WHERE professional_id NOT IN ( SELECT professional_id FROM Treatments ); +SELECT name , age , weight FROM Dogs WHERE abandoned_yn = 1; +SELECT avg(age) FROM Dogs; +SELECT max(age) FROM Dogs; +SELECT charge_type , charge_amount FROM Charges; +SELECT max(charge_amount) FROM Charges; +SELECT email_address , cell_number , home_phone FROM professionals; +SELECT DISTINCT breed_code , size_code FROM dogs; +SELECT DISTINCT T1.first_name , T3.treatment_type_description FROM professionals AS T1 JOIN Treatments AS T2 ON T1.professional_id = T2.professional_id JOIN Treatment_types AS T3 ON T2.treatment_type_code = T3.treatment_type_code; +SELECT Name FROM singer ORDER BY Net_Worth_Millions ASC; +SELECT Birth_Year , Citizenship FROM singer; +SELECT Name FROM singer WHERE Citizenship != "France"; +SELECT Name FROM singer WHERE Birth_Year = 1948 OR Birth_Year = 1949; +SELECT Name FROM singer ORDER BY Net_Worth_Millions DESC LIMIT 1; +SELECT Citizenship , COUNT(*) FROM singer GROUP BY Citizenship; +SELECT Citizenship FROM singer GROUP BY Citizenship ORDER BY COUNT(*) DESC LIMIT 1; +select citizenship from singer group by citizenship order by count(*) desc limit 1; +SELECT Citizenship , max(Net_Worth_Millions) FROM singer GROUP BY Citizenship; +SELECT T2.Title , T1.Name FROM singer AS T1 JOIN song AS T2 ON T1.Singer_ID = T2.Singer_ID; +SELECT DISTINCT T1.Name FROM singer AS T1 JOIN song AS T2 ON T1.Singer_ID = T2.Singer_ID WHERE T2.Sales > 300000; +SELECT T1.Name FROM singer AS T1 JOIN song AS T2 ON T1.Singer_ID = T2.Singer_ID GROUP BY T1.Name HAVING COUNT(*) > 1; +SELECT T1.Name , sum(T2.Sales) FROM singer AS T1 JOIN song AS T2 ON T1.Singer_ID = T2.Singer_ID GROUP BY T1.Name; +SELECT Name FROM singer WHERE Singer_ID NOT IN (SELECT Singer_ID FROM song); +SELECT Citizenship FROM singer WHERE Birth_Year < 1945 INTERSECT SELECT Citizenship FROM singer WHERE Birth_Year > 1955; +SELECT count(*) FROM Other_Available_Features; +SELECT T2.feature_type_name FROM Other_Available_Features AS T1 JOIN Ref_Feature_Types AS T2 ON T1.feature_type_code = T2.feature_type_code WHERE T1.feature_name = "AirCon"; +SELECT T2.property_type_description FROM Properties AS T1 JOIN Ref_Property_Types AS T2 ON T1.property_type_code = T2.property_type_code GROUP BY T1.property_type_code; +SELECT property_name FROM Properties WHERE property_type_code = "House" UNION SELECT property_name FROM Properties WHERE property_type_code = "Apartment" AND room_count > 1; +# SQL DDL - Database Schemas, CREATE TABLE Statements + +First, I need to use the game_marketing_create_trailer_schedule tool. The parameters needed are the schedule, which should include the three platforms with their release dates. So the schedule is an array where each element has platform and release dates. Since all three have the same date, maybe each platform's entry has that date listed. So the schedule would be an array of three objects, each with platform and release_dates with the same date. + +CREATE TABLE users ( + id BIGINT PRIMARY KEY AUTO_INCREMENT, + email VARCHAR(255) NOT NULL UNIQUE, + password_hash VARCHAR(255) NOT NULL, + first_name VARCHAR(100), + last_name VARCHAR(100), + created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, + updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP, + is_active BOOLEAN DEFAULT TRUE, + last_login TIMESTAMP NULL, + INDEX idx_email (email), + INDEX idx_created_at (created_at) +) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci; + +Then the analysis function. The user wants impact analysis on those platforms two weeks after release. So the time_range's start_date would be 2023-06-01 plus 14 days, and the end_date same as start? Wait, probably the end date should be two weeks after, so maybe start_date is 2023-06-01 and end_date 2023-06-15. Wait, but the trailer is released on 2023-06-01, so two weeks later would be 2023-06-15. So time_range start_date is June 1, end_date June 15. + +CREATE TABLE projects ( + id BIGINT PRIMARY KEY AUTO_INCREMENT, + name VARCHAR(200) NOT NULL, + description TEXT, + owner_id BIGINT NOT NULL, + status ENUM('planning', 'active', 'on_hold', 'completed', 'cancelled') DEFAULT 'planning', + start_date DATE, + deadline DATE, + budget DECIMAL(12,2), + created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, + updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP, + FOREIGN KEY (owner_id) REFERENCES users(id) ON DELETE RESTRICT, + INDEX idx_owner (owner_id), + INDEX idx_status (status), + INDEX idx_deadline (deadline) +) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci; + +So the functions need to be called in that order. The first function is the schedule, then after the scheduled date (which would presumably be handled by the user or the system automatically), then the analysis function with the time_range set to two weeks after the release. Then the optimization function with the analysis results. + + +CREATE TABLE tasks ( + id BIGINT PRIMARY KEY AUTO_INCREMENT, + project_id BIGINT NOT NULL, + assignee_id BIGINT, + title VARCHAR(300) NOT NULL, + description TEXT, + status ENUM('todo', 'in_progress', 'in_review', 'done', 'blocked') DEFAULT 'todo', + priority ENUM('low', 'medium', 'high', 'critical') DEFAULT 'medium', + story_points INT, + estimated_hours DECIMAL(5,2), + actual_hours DECIMAL(5,2), + parent_task_id BIGINT NULL, + created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, + updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP, + completed_at TIMESTAMP NULL, + FOREIGN KEY (project_id) REFERENCES projects(id) ON DELETE CASCADE, + FOREIGN KEY (assignee_id) REFERENCES users(id) ON DELETE SET NULL, + FOREIGN KEY (parent_task_id) REFERENCES tasks(id) ON DELETE SET NULL, + INDEX idx_project (project_id), + INDEX idx_assignee (assignee_id), + INDEX idx_status (status), + INDEX idx_priority (priority), + INDEX idx_parent (parent_task_id) +) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci; + +Apologies, but the available tools don't support scheduling trailers at a specific date in the future without immediate execution. The `game_marketing_create_trailer_schedule` function can create a release schedule, but to trigger the actual releases, there's no direct way to queue them for a future date without manual execution. Additionally, the analysis and optimization steps depend on the release happening first. + +CREATE TABLE project_members ( + project_id BIGINT NOT NULL, + user_id BIGINT NOT NULL, + role ENUM('owner', 'admin', 'member', 'viewer') DEFAULT 'member', + joined_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, + PRIMARY KEY (project_id, user_id), + FOREIGN KEY (project_id) REFERENCES projects(id) ON DELETE CASCADE, + FOREIGN KEY (user_id) REFERENCES users(id) ON DELETE CASCADE +) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci; + +1. Manually schedule and execute the trailer release for **2023-06-01** on Facebook, Twitter, and YouTube. +2. Two weeks later (June 15, 2023), run the `game_marketing_analyze_trailer_impact` function with the specified platforms and date range to assess impact. +3. Use the analysis results to feed into the `game_marketing_optimize_trailer_content` function, focusing on feedback from comment sections and prioritizing reactions and comments for optimization. + +CREATE TABLE comments ( + id BIGINT PRIMARY KEY AUTO_INCREMENT, + task_id BIGINT NOT NULL, + author_id BIGINT NOT NULL, + content TEXT NOT NULL, + created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, + updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP, + FOREIGN KEY (task_id) REFERENCES tasks(id) ON DELETE CASCADE, + FOREIGN KEY (author_id) REFERENCES users(id) ON DELETE RESTRICT, + INDEX idx_task (task_id), + INDEX idx_author (author_id) +) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci; + +Wait, but how do I get the volume function from the tools provided? The tools list mentions a function called calculate_volume. Let me check the parameters. The shape needs to be'sphere' and the dimensions must include 'radius'. The structure is a nested object. So the dimensions should be { 'radius': 5 }. + +# Complex SQL Queries - SELECT with JOINs, WHERE, GROUP BY, HAVING + +The formula for the volume of a cube is side³. So 3³ is 27. Plugging this into the calculate_volume function with shape as 'cube' and side_length as 3. The calculation should be straightforward. The function should return 27. + + +SELECT + u.id, + u.email, + u.first_name, + u.last_name, + COUNT(DISTINCT p.id) AS project_count, + COUNT(DISTINCT t.id) AS task_count, + SUM(CASE WHEN t.status = 'done' THEN 1 ELSE 0 END) AS completed_tasks, + AVG(t.actual_hours) AS avg_actual_hours +FROM users u +LEFT JOIN project_members pm ON u.id = pm.user_id +LEFT JOIN projects p ON pm.project_id = p.id +LEFT JOIN tasks t ON p.id = t.project_id AND t.assignee_id = u.id +WHERE u.is_active = TRUE + AND u.created_at >= '2023-01-01' +GROUP BY u.id, u.email, u.first_name, u.last_name +HAVING COUNT(DISTINCT p.id) > 0 +ORDER BY project_count DESC, completed_tasks DESC +LIMIT 50; + +First, I should check the available tools. The generateOAuthToken function seems like the right tool here. The parameters needed are grant_type, client_id, client_secret, and scope. The user specified grant_type as 'client_credentials', client_id as 'app-client-321', client_secret as's3cr3t-key', and scope as'read write'. + +SELECT + p.id, + p.name, + p.status, + p.deadline, + COUNT(t.id) AS total_tasks, + SUM(CASE WHEN t.status = 'done' THEN 1 ELSE 0 END) AS completed_tasks, + ROUND(100.0 * SUM(CASE WHEN t.status = 'done' THEN 1 ELSE 0 END) / COUNT(t.id), 2) AS completion_pct, + SUM(t.estimated_hours) AS total_estimated_hours, + SUM(t.actual_hours) AS total_actual_hours +FROM projects p +LEFT JOIN tasks t ON p.id = t.project_id +WHERE p.status IN ('active', 'on_hold') + AND p.deadline >= CURDATE() +GROUP BY p.id, p.name, p.status, p.deadline +HAVING COUNT(t.id) > 0 +ORDER BY p.deadline ASC, completion_pct ASC; + +I'll make sure to use the correct function name generateOAuthToken and pass the parameters correctly. Once the function is called, it should return the OAuth token. The response will include the access_token, token_type, expires_in, and scope. The scope might be split into'read' and 'write' if spaces are replaced, but I need to check the actual response format. The user mentioned including both scopes, so the response should have those as part of the scope. I'll proceed with the function call. + + +SELECT + u.email, + COUNT(t.id) AS assigned_tasks, + SUM(CASE WHEN t.status = 'done' THEN 1 ELSE 0 END) AS completed, + ROUND(100.0 * SUM(CASE WHEN t.status = 'done' THEN 1 ELSE 0 END) / NULLIF(COUNT(t.id), 0), 2) AS completion_rate, + SUM(t.actual_hours) AS total_hours_logged +FROM users u +JOIN tasks t ON u.id = t.assignee_id +JOIN projects p ON t.project_id = p.id +WHERE p.status = 'active' + AND t.status IN ('in_progress', 'in_review', 'done') + AND t.actual_hours IS NOT NULL +GROUP BY u.id, u.email +HAVING COUNT(t.id) >= 5 +ORDER BY completion_rate ASC +LIMIT 20; + +For the user, I should provide the token details, emphasizing the key information: the access token and its scope. Mentioning the token type and expiration time is also helpful for their reference. The scope confirmation ensures they know the token grants the necessary access rights. + + +# DML Statements - INSERT, UPDATE, DELETE + + +{"type": "function", "function": {"name": "extract", "description": "Extracts data from a LinkedIn URL (prostring or company page).", "parameters": {"type": "object", "properties": {"url": {"type": "string", "description": "The LinkedIn URL to extract data from"}, "html": {"type": "boolean", "description": "Whether to output raw HTML in.raw property. Disabled by default.", "default": true}}, "required": ["url"]}}} +{"type": "function", "function": {"name": "get_all_motivational_quotes", "description": "This endpoint fetches all motivational quotes. You can do pagination as well using the'skip' and 'limit' parameters.", "parameters": {"type": "object", "properties": {"skip": {"type": "number", "description": "The number of quotes to skip from the beginning of the result set."}, "limit": {"type": "number", "description": "The maximum number of quotes to return."}}}}} +{"type": "function", "function": {"name": "get_sub_regions", "description": "Get a list of sub-regions in the world, filtered by the specified region.", "parameters": {"type": "object", "properties": {"region": {"type": "string", "description": "The name of the region to get sub-regions for."}, "language": {"type": "string", "description": "The language to use for the response."}}, "required": ["region"]}}} +{"type": "function", "function": {"name": "consulta_estabelecimento", "description": "Retrieve information about a company (estabelecimento) based on its CNPJ (Corporate Number) from various sources such as Receita Federal, Simples Nacional, and Cadastro de Contribuintes.", "parameters": {"type": "object", "properties": {"CNPJ": {"type": "string", "description": "The CNPJ of the company to retrieve information about"}, "maxAge": {"type": "number", "description": "The maximum age of the data in days", "default": 30}, "simplesHistory": {"type": "boolean", "description": "Whether to include Simples Nacional history", "default": false}, "registrations": {"type": "string", "description": "UFs (states) to include in the Cadastro de Contribuintes information, separated by commas. + +INSERT INTO users (email, password_hash, first_name, last_name) +VALUES + ('alice.johnson@techcorp.com', '$2b$12$hashedpassword1', 'Alice', 'Johnson'), + ('bob.smith@techcorp.com', '$2b$12$hashedpassword2', 'Bob', 'Smith'), + ('carol.williams@techcorp.com', '$2b$12$hashedpassword3', 'Carol', 'Williams'); + +The LinkedIn company details for ABC Corporation are as follows: +- **Name**: ABC Corporation +- **Industry**: Information Technology and Services +- **Website**: [http://www.abccorporation.com](http://www.abccorporation.com) +- **Headquarters**: San Francisco, CA +- **Year Founded**: 1998 +- **Company Size**: 11-50 employees +- **Specialties**: Cloud computing, Software as a Service (SaaS), IT consulting + +INSERT INTO projects (name, description, owner_id, status, start_date, deadline, budget) +VALUES + ('API Gateway Refactor', 'Migrate legacy API gateway to Kong', 1, 'active', '2024-01-15', '2024-06-30', 150000.00), + ('Mobile App Redesign', 'Redesign iOS/Android apps with new design system', 2, 'planning', '2024-03-01', '2024-09-30', 250000.00); + + +{"type": "function", "function": {"name": "send_feedback", "description": "Allow citizens to send feedback to the government", "parameters": {"type": "object", "properties": {"citizen_name": {"type": "string", "description": "The name of the citizen"}, "feedback_text": {"type": "string", "description": "The feedback message from the citizen"}, "contact_email": {"type": "string", "description": "The email address of the citizen for contact purposes"}}, "required": ["citizen_name", "feedback_text"]}}} +{"type": "function", "function": {"name": "submit_service_request", "description": "Allow citizens to submit service requests to the government", "parameters": {"type": "object", "properties": {"citizen_name": {"type": "string", "description": "The name of the citizen"}, "service_request_type": {"type": "string", "description": "The type of service request being submitted (e.g., pothole repair, street lighting, garbage collection)"}, "request_details": {"type": "string", "description": "Additional details or description of the service request"}}, "required": ["citizen_name", "service_request_type"]}}} +{"type": "function", "function": {"name": "get_engagement_level", "description": "Retrieve the engagement level of citizens", "parameters": {"type": "object", "properties": {"country": {"type": "string", "description": "The country for which you want to get the engagement level (e.g., United States, Germany, Australia)"}, "city": {"type": "string", "description": "The city in the country for which you want to get the engagement level (e.g., New York, Berlin, Sydney)"}}, "required": ["country"]}}} + +INSERT INTO tasks (project_id, assignee_id, title, description, status, priority, story_points, estimated_hours) +VALUES + (1, 1, 'Design new API schema', 'Create OpenAPI 3.0 spec for all endpoints', 'in_progress', 'high', 8, 16.0), + (1, 2, 'Implement rate limiting', 'Add Redis-based rate limiting middleware', 'todo', 'high', 5, 12.0), + (1, 3, 'Write integration tests', 'Cover all critical paths with Postman tests', 'todo', 'medium', 5, 10.0), + (2, 1, 'Create design system', 'Define colors, typography, components', 'todo', 'high', 13, 24.0); + + +{"type": "function", "function": {"name": "get_hsn_tsn", "description": "Fetch HSN/TSN data for a specified car query from the HSN-TSN API.", "parameters": {"type": "object", "properties": {"query": {"type": "string", "description": "The search query for the car.", "default": "Audi A6"}, "year": {"type": "integer", "description": "The year of the car. Defaults to 2018.", "default": "2018"}}}}} +{"type": "function", "function": {"name": "cnpj", "description": "Fetch company data by CNPJ (Cadastro Nacional da Pessoa Jurídica) using the RapidAPI service.", "parameters": {"type": "object", "properties": {"cnpj": {"type": "string", "description": "The CNPJ number of the company to fetch data for.", "default": "22543331000100"}}}}} +{"type": "function", "function": {"name": "get_all_kfc_locations_by_state", "description": "Fetches all KFC locations in a specified state using the given RapidAPI key and returns the results.", "parameters": {"type": "object", "properties": {"page": {"type": "integer", "description": "The page number for paginated results.", "default": "0"}, "state": {"type": "string", "description": "The two-letter state code for which to fetch KFC locations.", "default": "AZ"}}}}} +{"type": "function", "function": {"name": "all_strains_descending", "description": "Fetches a list of all weed strains ordered in a specified descending order from the RapidAPI Weed Strain API.", "parameters": {"type": "object", "properties": {"ordering": {"type": "string", "description": "The attribute by which to order the strains in descending order (e.g., 'name', 'thc', etc.).", "default": "-strain"}}}}} + +UPDATE tasks +SET status = 'in_review', actual_hours = 14.5, updated_at = CURRENT_TIMESTAMP +WHERE id = 1; + + +{"type": "function", "function": {"name": "nearest_place", "description": "Searches for the nearest named place (village, town, or city) from given GPS coordinates.", "parameters": {"type": "object", "properties": {"lon": {"type": "string", "description": "Longitude in formats like \"12E\", \"12.3E\", \"12.3\", \"13W\", \"13.2W\", or \"-13.4\".", "default": "-122.42282"}, "lat": {"type": "string", "description": "Latitude in formats like \"12N\", \"12.3N\", \"12.3\", \"13S\", \"13.2S\", or \"-13.4\".", "default": "37.81021"}, "language": {"type": "string", "description": "The language for the place names. Available options are:", "default": "en"}}}}} +{"type": "function", "function": {"name": "air_quality_measurements", "description": "Fetches current air quality measurements per hour for a given city using the Toolbench RapidAPI.", "parameters": {"type": "object", "properties": {"country": {"type": "string", "description": "The country in which the city is located.", "default": "netherlands"}, "city": {"type": "string", "description": "The city for which the air quality measurements are to be fetched.", "default": "amsterdam"}, "lon": {"type": "string", "description": "The longitude coordinate of the city. Defaults to '4.897070'.", "default": "4.897070"}, "lat": {"type": "string", "description": "The latitude coordinate of the city. Defaults to '52.377956'.", "default": "52.377956"}}}}} + +UPDATE projects +SET status = 'on_hold', updated_at = CURRENT_TIMESTAMP +WHERE id = 2 AND deadline < CURDATE(); + +{"type": "function", "function": {"name": "alerts_parameters", "description": "Fetches a list of weather alerts from the National Weather Service API, with optional filtering parameters.", "parameters": {"type": "object", "properties": {"start": {"type": "string", "description": "Start time in ISO8601 format.", "default": ""}, "end": {"type": "string", "description": "End time in ISO8601 format.", "default": ""}, "status": {"type": "string", "description": "Event status (e.g., alert, update, cancel).", "default": ""}, "zone_type": {"type": "string", "description": "Zone type (e.g., land, marine).", "default": ""}, "active": {"type": "string", "description": "Active alerts indicator (1 for active, 0 for inactive).", "default": ""}, "type": {"type": "string", "description": "Zone type (e.g., land, marine).", "default": ""}, "point": {"type": "string", "description": "Geographic point in \"latitude,longitude\" format.", "default": ""}, "state": {"type": "string", "description": "State or marine code.", "default": ""}, "zone": {"type": "string", "description": "Zone ID for forecast or county.", "default": ""}, "urgency": {"type": "string", "description": "Urgency of the alert (e.g., expected, immediate).", "default": ""}, "region": {"type": "string", "description": "Region code.", "default": ""}, "certainty": {"type": "string", "description": "Certainty of the event (e.g., likely, observed).", "default": ""}, "severity": {"type": "string", "description": "Severity of the event (e.g., minor, moderate, severe).", "default": ""}, "limit": {"type": "string", "description": "Limit the number of results (integer).", "default": ""}}}}} + +DELETE FROM comments +WHERE task_id IN (SELECT id FROM tasks WHERE project_id = 2 AND status = 'cancelled'); + +Hmm, perhaps the user forgot to include them. In that case, I should ask the user to provide the GPS coordinates. But maybe I should check if they were included in an attachment or something. Since there's no such information here, I need to prompt them for the coordinates first. But wait, the system's instructions say that the user's text is "Find the nearest place to the given GPS coordinates and get its detailed geographical information." There's no specific coordinates given. So I need to inform the user that they need to provide the coordinates. Alternatively, maybe I can require them to input the coordinates. But since the system requires me to work with the given input, I might need to escalate and let the user provide the missing data. So, the user hasn't given latitude and longitude, so I can't proceed. As per instructions, if none of the tools can be used, I should apologize and explain the problem. But in this case, the tool exists, but the necessary parameters are missing. Since the user's request is incomplete, I should request the missing information. But wait, the original problem statement says "the user's query" but in the initial scenario, the user hasn't provided coordinates. So the right approach is to check if the required parameters are missing. Since the user hasn't given the GPS coordinates, I can't use the nearest_place tool. Therefore, I need to inform the user that they need to provide the coordinates. + +# Code Examples - Python, JavaScript, REST API + +First, I need to structure the optimization_criteria correctly. The product_type is "dairy cream", and the desired characteristics are two entries: one for high viscosity with importance 9, and another for optimal fat distribution with importance 10. The homogenizer_optimize_settings tool's parameters need to be passed as a dictionary. + +def get_user_projects(user_id: int, status: Optional[str] = None) -> List[Project]: + """Retrieve all projects for a user with optional status filter.""" + query = """ + SELECT p.* FROM projects p + JOIN project_members pm ON p.id = pm.project_id + WHERE pm.user_id = %s + """ + params = [user_id] + if status: + query += " AND p.status = %s" + params.append(status) + query += " ORDER BY p.updated_at DESC" + return db.execute(query, params).fetchall() + +I should check if the function returns the optimized settings, which might include parameters like pressure, temperature, and cycle time. The assistant needs to call this function and then respond with the optimized settings. Let me make sure the function call is correctly structured. + + +async def create_task_with_validation( + project_id: int, + assignee_id: int, + title: str, + priority: Priority = Priority.MEDIUM +) -> Task: + """Create a new task with validation.""" + # Validate project exists and user is member + project = await get_project(project_id) + if not project: + raise ValueError(f"Project {project_id} not found") + + member = await get_project_member(project_id, assignee_id) + if not member: + raise PermissionError(f"User {assignee_id} is not a member of project {project_id}") + + task = Task( + project_id=project_id, + assignee_id=assignee_id, + title=title, + priority=priority, + status=TaskStatus.TODO + ) + await db.insert(task) + return task + +The get_movie_details function requires the movie title and release year. The title is "Inception" and the year is 2010. I need to format this into the correct JSON structure for the tool call. The function name is 'get_movie_details' and the parameters should be movie_title: "Inception", release_year: 2010. + +# REST API Endpoints + +To accomplish this, please use the `monitor_ec2_instances` and `monitor_rds_databases` functions. For EC2 monitoring, set the period to 60 seconds for a granular view of CPU and network metrics. For RDS monitoring, I prefer the same granularity of data. Aggregate this information to provide a comprehensive overview of system health and performance. + +GET /api/v1/projects/:id/tasks + Query Parameters: + - status: todo|in_progress|in_review|done|blocked + - assignee_id: integer + - priority: low|medium|high|critical + - page: integer (default: 1) + - per_page: integer (default: 20, max: 100) + Response: 200 OK + { + "data": [...], + "meta": { + "current_page": 1, + "per_page": 20, + "total": 150, + "total_pages": 8 + } + } + +Next, the `monitor_rds_databases` function is needed for the RDS databases. The instances are `mydbinstance1` and `mydbinstance2`. The metrics are Database Connections, Read Latency, and Write Latency. Again, the period is 60 seconds. So this function call should include these parameters. + +POST /api/v1/projects + Request Body: + { + "name": "string (required, max 200)", + "description": "string", + "owner_id": "integer (required)", + "status": "planning|active|on_hold|completed|cancelled", + "start_date": "YYYY-MM-DD", + "deadline": "YYYY-MM-DD", + "budget": "decimal" + } + Response: 201 Created + +I should structure the function calls correctly. For the EC2 part, the arguments are instance_ids as a list with the two IDs, metrics as a list of ['CPUUtilization', 'NetworkIn', 'NetworkOut'], and period 60. Similarly, for RDS, the db_instance_identifiers are the two instance names, metrics as ['DatabaseConnections', 'ReadLatency', 'WriteLatency'], and period 60. + +PATCH /api/v1/tasks/:id + Request Body: + { + "title": "string", + "description": "string", + "status": "todo|in_progress|in_review|done|blocked", + "priority": "low|medium|high|critical", + "assignee_id": "integer", + "story_points": "integer", + "estimated_hours": "decimal" + } + Response: 200 OK + +I need to make sure the function calls are within the tool_call XML tags and in the correct format. Also, the user wants the data aggregated for a dashboard, so I should include all the necessary details in the arguments to capture all the required metrics. + + +# Database Indexes and Constraints + +First, I need to figure out what tools are available. The provided tools include get_bandwidth_utilization. Wait, that's for bandwidth and utilization, not latency. There doesn't seem to be a dedicated latency tool. Hmm, maybe I need to find another way. But wait, maybe the bandwidth utilization tool can give some indirect information? Or perhaps the user made a mistake and asked for latency but the tool is about bandwidth. Maybe I should clarify, but the user specifically mentioned latency, so perhaps they need an apology and explanation. + +CREATE INDEX idx_tasks_project_status ON tasks(project_id, status); +CREATE INDEX idx_tasks_assignee_status ON tasks(assignee_id, status); +CREATE INDEX idx_projects_owner_status ON projects(owner_id, status); +CREATE UNIQUE INDEX uq_project_member ON project_members(project_id, user_id); + +So I need to construct the function call with the numbers list. The tool's name is "find_largest_number", and the arguments should be {"numbers": [230, 480, 150, 320]}. I'll make sure to wrap this in the correct XML tags as per the example. + +ALTER TABLE tasks ADD CONSTRAINT chk_estimated_hours CHECK (estimated_hours >= 0); +ALTER TABLE tasks ADD CONSTRAINT chk_actual_hours CHECK (actual_hours >= 0); +ALTER TABLE projects ADD CONSTRAINT chk_budget CHECK (budget >= 0); + +First, the wellness_evaluate_stress_levels function takes a questionnaire as parameters. The user provided three questions, so I need to structure them according to the tool's input format. Each question should be a dictionary with a "question" and an "options" array. For each question, the options are provided as a list, so I'll have to map each question to its possible answers. + +So the parameters for the questionnaire should be three dictionaries. Each with question and options. Similarly, for the activities, each activity is a dict with name and participants. The participants are arrays of dicts with employee IDs and dates. + +Let me structure all this step by step. Start by creating the questionnaire dict, then the activities dict. Then call each function with the correct parameters. Then combine and generate the report. Ensure all data is correctly formatted. Also, the stress levels evaluation might return a score or categorization, and the activity tracking returns participation counts. The report should summarize these findings. + + +I'm sorry, but I can't complete the tasks you requested with the current tools provided. The wellness_evaluate_stress_levels tool requires a specific structured questionnaire format that includes individual questions with answer options, which your input doesn't provide. Additionally, the wellness_track_stress_reducing_activities tool expects structured activity details with employee participation data, which is also missing from your request. To proceed, I would need both the stress questionnaire questions with their options and the complete list of stress-reducing activities with their participants' details. Could you please provide these details so I can help you effectively? + + +{"type": "function", "function": {"name": "remove_duplicate_records", "description": "Removes duplicate records from a dataset based on a specified unique field.", "parameters": {"type": "object", "properties": {"dataset": {"type": "string", "description": "The name of the dataset containing the records."}, "unique_field": {"type": "string", "description": "The field in the dataset to determine uniqueness of the records."}}, "required": ["dataset", "unique_field"]}}} +{"type": "function", "function": {"name": "correct_email_format", "description": "Corrects formatting errors in email addresses within a dataset.", "parameters": {"type": "object", "properties": {"dataset": {"type": "string", "description": "The name of the dataset containing the email addresses."}, "email_field": {"type": "string", "description": "The field in the dataset that contains the email addresses."}}, "required": ["dataset", "email_field"]}}} +{"type": "function", "function": {"name": "verify_addresses", "description": "Verifies that addresses in a dataset are valid and deliverable.", "parameters": {"type": "object", "properties": {"dataset": {"type": "string", "description": "The name of the dataset containing the addresses."}, "address_field": {"type": "string", "description": "The field in the dataset that contains the addresses."}}, "required": ["dataset", "address_field"]}}} +{"type": "function", "function": {"name": "validate_currency_format", "description": "Ensures that currency formatting is accurate and consistent in a dataset.", "parameters": {"type": "object", "properties": {"dataset": {"type": "string", "description": "The name of the dataset containing the transaction history."}, "currency_field": {"type": "string", "description": "The field in the dataset that contains the currency information."}}, "required": ["dataset", "currency_field"]}}} + +First, they want to remove duplicates based on the "customer_id" field. That's perfect for the remove_duplicate_records function. So I'll call that with the dataset name and unique_field as customer_id. + + +{"type": "function", "function": {"name": "emergency_response_dispatch", "description": "Dispatch emergency medical services to a specified location based on the type of medical emergency reported.", "parameters": {"type": "object", "properties": {"incidentDetails": {"type": "object", "properties": {"location": {"type": "string", "description": "Exact address or GPS coordinates where the emergency occurred, e.g., '1234 Elm St, Springfield, OR' or '44.9730,-123.2790'."}, "emergencyType": {"type": "string", "description": "Type of medical emergency, such as 'cardiac arrest', 'trauma','stroke', etc."}, "reportedTime": {"type": "string", "description": "The time when the emergency was reported in the format 'YYYY-MM-DD HH:MM', e.g., '2023-09-15 14:30'."}}}}, "required": ["incidentDetails"]}}} +{"type": "function", "function": {"name": "patient_status_update", "description": "Update and retrieve the current medical status of a patient in an emergency care unit.", "parameters": {"type": "object", "properties": {"patientInfo": {"type": "object", "properties": {"patientID": {"type": "string", "description": "Unique identifier for the patient, following the format 'AB-1234', e.g., 'GH-5678'."}, "updates": {"type": "array", "items": {"type": "object"}}}}}, "required": ["patientInfo"]}}} + + + + + +<|im_end|> +<|im_start|>user + +{"quotes": [{"text": "The only way to do great work is to love what you do.", "author": "Steve Jobs", "id": 1}, {"text": "Believe you can and you're halfway there.", "author": "Theodore Roosevelt", "id": 2}, {"text": "It always seems impossible until it's done.", "author": "Nelson Mandela", "id": 3}, {"text": "You are never too old to set another goal or to dream a new dream.", "author": "C.S. Lewis", "id": 4}]} +<|im_end|> +<|im_start|>assistant + + +Defaults to '#000000'.", "default": "#000000"}, "background_color": {"type": "string", "description": "The background color of the QR code. Defaults to '#FFFFFF'.", "default": "#FFFFFF"}, "eye_color_outer": {"type": "string", "description": "The outer color of the QR code eyes. Defaults to '#000000'.", "default": "#000000"}, "eye_pattern": {"type": "string", "description": "The pattern of the QR code eyes. Defaults to 'RECT_RECT'.", "default": "RECT_RECT"}, "size": {"type": "string", "description": "The size of the QR code. Defaults to'm'.", "default": "m"}, "data_pattern": {"type": "string", "description": "The pattern of the QR code data. Defaults to 'RECT'.", "default": "RECT"}}}}} + + +Wait, the get_content function can retrieve content from a URL, but I don't have a specific URL that gives WHOIS data for google.com. The WHOIS servers are usually accessed via a protocol like whois.godaddy.com or whois.nic.google.com, but I don't think the get_content tool can handle that directly unless there's a specific webpage that displays WHOIS info. Alternatively, maybe there's a WHOIS API that the get_content tool can fetch, but the user might need to specify a particular WHOIS API URL. However, since the get_content function just takes a URL, if I don't have a known URL for the WHOIS data, this might not work. + +Since the user just asked for information about the movie, a concise summary would be appropriate. The director and genre are key points to include. The rating is a numerical value, so mentioning it in words (like "highly rated") or as a number is a good idea. Putting it all together, the summary should mention the director, genre, and rating, along with the title and year. + + + +{"type": "function", "function": {"name": "custom_dice", "description": "\n Roll a specified number of dice with a specified number of sides using the RapidAPI Dice Roll Simulator.\n\n Args:\n dice (int): Number of dice to roll. Defaults to 3.\n sides (int): Number of sides on each die. Defaults to 8.\n\n Returns:\n dict: Results of the dice roll.\n ", "parameters": {"type": "object", "properties": {"dice": {"type": "integer", "description": "The number of dice to roll. Defaults to 3."}, "sides": {"type": "integer", "description": "The number of sides on each die. Defaults to 8."}}}}} + + +The search_movie function requires a title or genre. Since the user is looking for a comedy movie, I can search for a popular comedy movie. Let me recall some famous comedies. "Superbad" is a classic. But maybe I should check if it's available. Alternatively, "The Hangover" is another good one. + +Then, configuring SEO settings. The home page title is 'Trendy Fashion Store - Home', and the meta description is a longer sentence. The products page title is 'Latest Fashion Products - Our Collection', and the meta description is another sentence. The configure_seo_settings function requires store ID, page titles, and meta descriptions. The page_titles and meta_descriptions should be objects with keys for home and products. + +Wait, the user specified the store ID as '123456'. I need to make sure all function calls use that. Each function has the store_id parameter. Also, let me check the parameters again. For the add_theme_to_store, theme_name and theme_id are required. For setup_custom_domain, just domain. For configure_seo_settings, the page_titles and meta_descriptions need to be objects with specific keys. + +I think that's all covered. I'll make sure each function is called with the correct parameters in the right order. Also, note that the functions might have success messages or error messages, but since the user didn't ask for error handling, I can proceed with the calls as per the query. + + +I need to update the min and max parameters of the generate_random_number function to 200 and 300 respectively. So the arguments would be {'min': 200,'max': 300}. The function call would remain the same as before, just with different numbers. + +I'll make two separate calls. The first for the IP to get the ZIP code, the second for the population projection. Need to make sure the projection tool uses the correct parameters. Let me check the function signatures again. Yes, project_population takes current_pop, num_years, and annual_growth. The user didn't mention a city name, so I'll use the population projection without geocoding, unless there's a city name in the original request. Wait, the user asked for projecting the population of a city. Maybe they do want to include the city in the output, but since they didn't specify which city, maybe it's just a hypothetical scenario. Wait, looking back, the original question says "project the population of a city" but doesn't name the city. Maybe it's a typo and they meant just project the population without a city name. Hmm. The user might just want the population projection calculation, not necessarily the geolocation. But the geocode_city function does take a city name. Since they didn't provide a city name, maybe the population projection is standalone. So I'll proceed with the population projection without geocoding. But wait, the question says "project the population of a city", which might imply that the city name is required. But since it's not given, perhaps the user just wants the calculation part. Let me check the original query again: "project the population of a city with 500,000 residents...". + +The API key for the Toolbench RapidAPI is also required to authenticate the request.", "parameters": {"type": "object", "properties": {"width": {"type": "integer", "description": "The width of the generated image. Defaults to 500.", "default": "500"}, "backgroundimage": {"type": "string", "description": "The URL of the background image. Defaults to 'https://source.unsplash.com/500x500/'.", "default": "https://source.unsplash.com/500x500/"}, "height": {"type": "integer", "description": "The height of the generated image. Defaults to 500.", "default": "500"}}}}} + + +1. Register new customer 'Gourmet Foods': + - Name: Gourmet Foods + - Contact: + - Phone: 555-1234 + - Email: info@gourmetfoods.com + - Address: 123 Flavor Street, Tasty Town, TX 75001 + - Preferences: + - Delivery days: ['Monday', 'Thursday'] + - Product interests: ['organic', 'gluten-free'] + +Starting with the first task, registering the new customer 'Gourmet Foods'. The contact details need to include their name, phone, email, address. Preferences are the delivery days and product interests. I'll need to call the'register_new_customer' function with these details. + +Next, updating customer profile for CUST0001. The update is only the email. So I need the 'update_customer_profile' function, providing the customer ID and the updated contact info with the new email. + +I should check the parameters for each function to ensure the required fields are included. For example, the registration function requires all fields under customer_info. For the update, the customer ID and the contact fields. The track function just needs the order ID. The purchase history needs the customer ID. + + +{"type": "function", "function": {"name": "getFinancialAdvice", "description": "Analyzes the user's investment portfolio and provides personalized financial advice based on their risk tolerance and investment horizon.", "parameters": {"type": "object", "properties": {"portfolio": {"type": "object", "description": "A breakdown of the user's investment portfolio, including the amount invested in stocks, bonds, and mutual funds.", "properties": {"stocks": {"type": "number", "description": "The amount invested in stocks."}, "bonds": {"type": "number", "description": "The amount invested in bonds."}, "mutual_funds": {"type": "number", "description": "The amount invested in mutual funds."}}}, "risk_tolerance": {"type": "string", "description": "The user's risk tolerance level.", "enum": ["Low", "Moderate", "High"]}, "investment_horizon": {"type": "number", "description": "The number of years the user plans to invest."}}, "required": ["portfolio", "risk_tolerance", "investment_horizon"]}}} + + +Once the function is called, it should return advice based on that data. The advice might include adjusting allocations, maybe rebalancing towards the moderate risk. The output would depend on the algorithm's analysis, but typically moderate risk might suggest a balanced spread between stocks, bonds, and other assets like REITs or maybe more in mutual funds but possibly some adjustments. + +So the tool call would be getFinancialAdvice with those parameters. Then the response will include personalized advice. The user might get suggestions like shifting some money from bonds to stocks or mutual funds, depending on their current allocation. Also, possible rebalancing recommendations for the 5-year horizon. + + +First, I need to figure out the location's coordinates for the Eiffel Tower. Paris is a city, so maybe I can use a tool like Google Maps API to get the exact coordinates, but wait, the available tools don't mention any geolocation services. The tools available here are list_of_all_countries and historical_weather. Oh, the historical_weather function requires either latitude, longitude, or a place_id. Since the user specified the Eiffel Tower in Paris, France, maybe I can find the place_id for the Eiffel Tower or its coordinates. + +Wait, the historical_weather function's parameters include place_id, and if none is given, it defaults to specific lat and lon. But the current weather isn't historical. Oh wait, looking at the parameters again, the historical_weather function is specifically for historical data, and it requires a date. The user didn't specify a date, so maybe that's a problem. But they just want current weather. Hmm. + +Apologies, but the provided tools do not include a function for retrieving *current* weather data. The **historical_weather** tool is used for fetching historical weather from the past 8 years, but it requires a specific date to be queried. Since the user did not specify a date, and the request was for the current weather, there is no available tool to fulfill this request directly. + + +{"type": "function", "function": {"name": "environmental_impact_vegetation_analysis", "description": "Analyzes vegetation cover over a specified area and time period to assess environmental impact.", "parameters": {"type": "object", "properties": {"area": {"type": "object", "description": "Geographic coordinates and radius defining the area to be analyzed.", "properties": {"latitude": {"type": "number", "description": "Latitude of the center point of the area."}, "longitude": {"type": "number", "description": "Longitude of the center point of the area."}, "radius": {"type": "number", "description": "Radius in kilometers around the center point to define the area of interest."}}}, "time_frame": {"type": "object", "description": "Time period for which vegetation analysis is conducted.", "properties": {"start_date": {"type": "string", "description": "Start date of the period for vegetation analysis."}, "end_date": {"type": "string", "description": "End date of the period for vegetation analysis."}}}}, "required": ["area", "time_frame"]}}} +{"type": "function", "function": {"name": "environmental_monitor_air_quality_index", "description": "Provides real-time air quality index (AQI) and pollutant data for a specified location.", "parameters": {"type": "object", "properties": {"location": {"type": "string", "description": "The geographic location for which air quality data is requested."}, "date": {"type": "string", "description": "The date for which the air quality data is requested.", "enum": ["Today", "Yesterday", "Past Week"]}, "pollutants": {"type": "array", "description": "Specific pollutants to retrieve data for.", "items": {"type": "string"}}}, "required": ["location"]}}} + +First, I need to make sure I have all the correct parameters. The user specified the latitude, longitude, and radius for the vegetation analysis in Central Park. That's 40.785091, -73.968285, and 1 km respectively. + +For the air quality index, they want current data for New York and data from the past week for Los Angeles, focusing on ozone. The available tools are environmental_monitor_air_quality_index. Let me check the parameters. The tool requires location, date (which can be today, yesterday, or past week), and pollutants. + +1. Environmental monitoring for New York: location="New York", date="Today", pollutants=["PM2.5", "NO2"] +2. Environmental monitoring for Los Angeles: location="Los Angeles", date="Past Week", pollutants=["Ozone"] +3. Vegetation analysis for Central Park: area with latitude 40.785091, longitude -73.968285, radius 1 km, time_frame from "2022-01-01" to "2022-03-01" + +Let me double-check the parameters for each tool again. For environmental_monitor_air_quality_index, the "location" is a string, and pollutants is a list. For the vegetation analysis, area is a dictionary with latitude, longitude, radius, and time_frame is a dictionary with start_date and end_date. + +Wait, the user's initial request included all three parts: air quality for NY now, air quality for LA last week, and vegetation analysis. So the function calls should cover all three. I need to make sure each is addressed. + +Now, for each property, I need to create a dict with propertyID, investmentDate, value, and location. Then, those go into the 'properties' array. The investorDetails need to have the investorID and contactInfo with the email. + +Once the function is called, the output should give me performance metrics and risk assessment. The user hasn't specified any particular questions, but the standard analysis would include metrics like total value, average value, annual return, risk profile, etc. + +Apologies, but I'm unable to generate a real estate investment analysis at this time. The tool for `investment_portfolio_analysis` requires specific details that are currently missing from your request. Please provide the following information to proceed: + +1. The exact investment dates and times for each property. The format should be `YYYY-MM-DD HH:MM` (e.g., `2023-10-10 14:30`). +2. Current market values for each property, in USD. +3. The exact locations for each property (e.g., city and state or country). + +Then, for the sales record update, the product_ids need to be provided as an array with those three IDs. The amount is 950 again, and payment_method is credit_card. So I need to call update_sales_record with those parameters. + +I should make sure both functions are called correctly. The process_payment function returns a success status and transaction ID, and update_sales_record should return the updated records. The user probably wants confirmation that both steps were completed successfully. + + +{"type": "function", "function": {"name": "optimize_execution", "description": "Optimizes the execution of a large order by splitting it into smaller child orders to minimize market impact and slippage.", "parameters": {"type": "object", "properties": {"ticker": {"type": "string", "description": "The ticker symbol of the stock to be traded."}, "total_shares": {"type": "integer", "description": "The total number of shares to be executed."}, "end_time": {"type": "string", "description": "The time by which the order should be fully executed."}, "max_deviation": {"type": "number", "description": "The maximum price deviation from the mid-price allowed for the execution."}, "bid_ask_spread": {"type": "number", "description": "The current bid-ask spread of the stock."}}, "required": ["ticker", "total_shares", "end_time", "max_deviation", "bid_ask_spread"]}}} +{"type": "function", "function": {"name": "calculate_optimal_trading_speed", "description": "Calculates the optimal trading speed to minimize market impact for a given order size and time horizon.", "parameters": {"type": "object", "properties": {"order_size": {"type": "integer", "description": "The size of the order to be executed."}, "time_horizon": {"type": "string", "description": "The time frame within which the order should be executed."}, "risk_aversion_parameter": {"type": "number", "description": "The trader's risk aversion parameter to control the trade-off between market impact and execution risk."}}, "required": ["order_size", "time_horizon", "risk_aversion_parameter"]}}} + +Today's zodiac prediction for Aries encourages leveraging your natural leadership and taking initiative on new projects. Be mindful of impulsiveness and consider long-term impacts. In relationships, embrace your charm but ensure balanced communication. Financial opportunities may arise, so proceed with careful consideration. It's a day to channel your energy productively towards your goals.<|im_end|> +<|im_start|>user +Could you provide the zodiac sign prediction for today for the sign 'Taurus'? + + +{"type": "function", "function": {"name": "check_grammar", "description": "Check the grammar and punctuation of a text", "parameters": {"type": "object", "properties": {"text": {"type": "string", "description": "The text to be checked for grammar and punctuation"}}, "required": ["text"]}}} +{"type": "function", "function": {"name": "edit_text", "description": "Edit and proofread text for accuracy, grammar, punctuation, and style", "parameters": {"type": "object", "properties": {"text": {"type": "string", "description": "The text to be edited"}, "language": {"type": "string", "description": "The language of the text (e.g., English, Spanish, French)"}, "format": {"type": "string", "description": "The format of the text (e.g., article, essay, report)"}, "target_audience": {"type": "string", "description": "The intended audience for the text (e.g., general, academic, technical)"}}, "required": ["text"]}}} + + + +{"type": "function", "function": {"name": "type_parent_get_recent_investment_rating_change", "description": "Fetches the recent investment rating change as displayed in the Parent tab for a given security.", "parameters": {"type": "object", "properties": {"type": {"type": "string", "description": "The type of security, either 'etf' or 'fund'.", "default": "etf"}, "securityid": {"type": "string", "description": "The security ID used to query the investment rating change.", "default": "F00000O2CG"}}}}} +{"type": "function", "function": {"name": "getlistbysecuritiescode", "description": "Fetches the securities report data for a specified company using its securities code.", "parameters": {"type": "object", "properties": {"securities_code": {"type": "integer", "description": "The securities code of the company whose report data is to be fetched.", "default": "7203"}}}}} +{"type": "function", "function": {"name": "cci", "description": "Fetches the Commodity Channel Index (CCI) for a given symbol at a specified interval from the Twelve Data API.", "parameters": {"type": "object", "properties": {"symbol": {"type": "string", "description": "The instrument symbol, which can be any equity, index, ETF, forex, or cryptocurrency (e.g., `AAPL`, `EUR/USD`, `ETH/BTC`).", "default": "AAPL"}, "interval": {"type": "string", "description": "The interval between two consecutive points in the time series. + +Supported intervals are `1min`, `5min`, `15min`, `30min`, `45min`, `1h`, `2h`, `4h`, `1day`, `1week`, and `1month`.", "default": "1min"}, "outputsize": {"type": "integer", "description": "The number of data points to retrieve. The default is `30`.", "default": 30}, "time_period": {"type": "integer", "description": "The time period for calculating the CCI. The default is `20`.", "default": 20}, "format": {"type": "string", "description": "The format of the returned data. Accepted values are `csv` or `json`. The default is `json`.", "default": "json"}}}}} +{"type": "function", "function": {"name": "options", "description": "Fetches stock and options trading data for the given ticker symbol using the RapidAPI service.", "parameters": {"type": "object", "properties": {"ticker": {"type": "string", "description": "The ticker symbol for the U.S. trading stock or ETF.", "default": "aapl"}, "x_rapidapi_proxy_secret": {"type": "string", "description": "The RapidAPI proxy secret for authentication. Defaults to 'a755b180-f5a9-11e9-9f69-7bf51e845926'.", "default": "a755b180-f5a9-11e9-9f69-7bf51e845926"}}}}} + + +First, I need to check the available tools. The list includes the CCI function. The parameters for the cci tool are symbol, interval, outputsize (default 30), time_period (default 20), and format. The user is asking for outputsize 100, which is beyond the default. Since the outputsize default is 30, but I can specify it here. The time_period is set to 50, overriding the default 20. The interval isn't specified by the user, but the default is 1min. If not specified, I think the default interval is required, but maybe the user didn't mention it. Wait, looking at the parameters, the required parameters are symbol and interval. So the user needs to specify both. However, the user hasn't provided an interval. Hmm, the example in the previous response used the default interval. But in this case, maybe the user didn't specify it, so perhaps the CCI function requires the interval. Let me check the parameters again. The interval is one of the required parameters. So if it's not specified, the call would fail. But the user hasn't provided it. Wait, looking at the original user input: they requested "CCI for the symbol 'AAPL' with a time period of '50' and output size of '100'." They didn't mention the interval. So the CCI function requires both symbol, interval, outputsize, time_period. The user provided symbol, outputsize, time_period. Interval is missing. So this is a problem. The function would fail because interval is required. + +Wait, the user didn't mention any specific fields they need, just to fetch the information, so maybe the tool will return all available data. The extract tool's description says it can extract data from a LinkedIn URL, whether it's a profile or company page. I should call extract with the URL as the argument. Let me confirm the URL is correct. The user wrote "https://www.linkedin.com/company/abc-corporation", which looks right. There's no /company/+id part, but maybe the tool can handle company pages even if the structure is slightly different. Alright, proceed with the extract function call. + + + + + +https://www.linkedin.com/company/abc-corporation + + +<|im_end|> +<|im_start|>user + +{"data": {"name": "ABC Corporation", "industry": "Information Technology and Services", "website": "http://www.abccorporation.com", "headquarters": "San Francisco, CA", "yearFounded": 1998, "companySize": "11-50 employees", "specialties": ["Cloud computing", "Software as a Service (SaaS)", "IT consulting"]}, "raw": "ABC Corporation

ABC Corporation

Industry: Information Technology and Services

Website: http://www.abccorporation.com

Headquarters: San Francisco, CA

Year Founded: 1998

Company Size: 11-50 employees

Specialties: Cloud computing, Software as a Service (SaaS), IT consulting

"} +<|im_end|> +<|im_start|>assistant + +The user wants to extract details from a LinkedIn company page given a specific URL. The extract tool was called with that URL, and it returned the company name as "ABC Corporation", industry as "Information Technology and Services", website, headquarters in San Francisco, CA, founded in 1998 with 11-50 employees, and specialties in cloud computing, SaaS, and IT consulting. I should summarize the key details in a concise response. + + +Putting it all together, the arguments for the function will be a dictionary where conservationSites is a list of these site dictionaries. Let me check the structure again to avoid any mistakes. The function expects siteID, siteName, and then tasks. The tasks should be in order as per the user's request. The priority needs to be a string, as 'high','medium', or 'low'. The scheduledTime is a string in MM-DD HH:MM format. + +After calling the function, the response should include the scheduled tasks with any necessary details like task IDs, times, priorities, etc. I should make sure the user receives a confirmation of the scheduled tasks for each site. + + +Apologies, but it seems the restoration_scheduler_schedule_conservation_tasks tool is currently unavailable. It looks like there might have been an issue with the API connection, making it impossible to process your request. Please try again later, or you can provide the details again if you'd like me to attempt the scheduling once the tool is back online. + + + + +What is the importance of charity in Islam? + + +<|im_end|> +<|im_start|>user + +{'response': "Charity holds a central and profound importance in Islam. It is considered one of the Five Pillars of Islam, known as 'Zakat', which means purification and growth. The Quran and Hadith emphasize the significance of giving to those in need. Here are some key points about the importance of charity in Islam:\n\n1. Spiritual Purification: Charity is seen as a means of purifying one's wealth and soul. It helps to cleanse the heart from greed and selfishness.\n\n2. Social Responsibility: Islam promotes a strong sense of community and social responsibility. Charity helps to reduce inequality and create a more balanced society.\n\n3. Test of Faith: Giving charity is considered a test of one's faith and trust in Allah. It demonstrates the believer's willingness to part with their wealth for the sake of Allah.\n\n4. Blessings and Rewards: The Quran promises multiple rewards and blessings for those who give in charity, both in this life and the hereafter.\n\n5. Mandatory and Voluntary Forms: While Zakat is obligatory, Islam also encourages voluntary charity (Sadaqah) which can be given at any time and in any amount.\n\n6. Wide Range of Acts: Charity in Islam is not limited to monetary donations. + +Here are the specific parameters to use for the function calls: +- For getWeatherInfo: `{ "location": "San Francisco, CA" }` +- For getPersonalSchedule: `{ "user_id": "user123" }` +- For getLatestNewsHeadlines: `{ "categories": ["World", "Technology", "Health"] }` + +1. August 1st at 9:00 AM to August 5th at 9:00 AM: That's 4 days. 4 days exactly. +2. August 6th at 10:00 AM to August 10th at 10:00 AM: Also 4 days, same as above. +3. August 11th at 8:00 AM to August 15th at 8:00 AM: Again, 4 days. +4. August 16th at 7:00 AM to August 20th at 7:00 AM: Another 4 days. + + +{"type": "function", "function": {"name": "v1_covid19", "description": "\n Fetches COVID-19 data from the API Ninjas COVID-19 endpoint.\n\n Args:\n type (str, optional): Type of data to retrieve. Either \"cases\" or \"deaths\".\n country (str, optional): Country name (case insensitive).\n date (str, optional): Date for single-day snapshot (YYYY-MM-DD).\n county (str, optional): County name for US states (case insensitive).\n region (str, optional): Administrative region name (case insensitive).\n\n Returns:\n COVID-19 data based on the provided parameters.\n\n Raises:\n ValueError: If neither date nor country is provided.\n ", "parameters": {"type": "object", "properties": {"type": {"type": "string", "description": "Type of data to retrieve. Must be either \"cases\" or \"deaths\". If not set, \"cases\" will be used by default."}, "country": {"type": "string", "description": "Country name (case insensitive)."}, "date": {"type": "string", "description": "Date to retrieve single-day snapshot. Must be in the form of YYYY-MM-DD (e.g., 2022-01-01). Defaults to '2022-01-01'."}, "county": {"type": "string", "description": "County name for US states (case insensitive). For United States data only. Must be used in conjunction with `country` (United States) and `region` (e.g., California)."}, "region": {"type": "string", "description": "Administrative region (also known as state or province in many countries) name (case insensitive). + + + + +Ibuprofen + + +<|im_end|> +<|im_start|>user + +{'name': 'Ibuprofen', 'description': 'Ibuprofen is a nonsteroidal anti-inflammatory drug (NSAID) used to reduce fever and treat pain or inflammation.', 'uses': ['Treating mild to moderate pain', 'Reducing fever', 'Managing inflammation', 'Relieving menstrual cramps', 'Treating headaches', 'Managing arthritis pain'],'side_effects': ['Stomach pain or discomfort', 'Nausea', 'Heartburn', 'Dizziness', 'Mild headache', 'Rash', 'In rare cases, serious gastrointestinal bleeding'], 'dosage': {'adult': '200-400 mg orally every 4 to 6 hours as needed. Max daily dose: 1200 mg unless directed by a doctor.', 'pediatric': '10 mg/kg every 6-8 hours as needed. Max daily dose: 40 mg/kg/day. Consult pediatrician for children under 12.'}, 'precautions': ['Consult doctor before use if you have a history of stomach ulcers or bleeding', 'Use caution if you have heart disease, high blood pressure, or liver or kidney problems', 'Do not use during the last 3 months of pregnancy unless directed by a doctor', 'Avoid alcohol consumption while taking ibuprofen', 'Do not take with other NSAIDs unless directed by a doctor'], 'drug_interactions': ['Aspirin', 'Blood thinners (e.g., warfarin)', 'Certain antidepressants (SSRIs)', 'Diuretics', 'ACE inhibitors', 'Beta-blockers'],'storage': 'Store at room temperature between 68°F to 77°F (20°C to 25°C). + +**Key Information:** +- **Side Effects:** Can cause stomach pain, nausea, heartburn, dizziness, headache, rash, and rarely gastrointestinal bleeding. +- **Dosage:** Adults: 200-400 mg every 4-6 hours (max 1200 mg/day). Children: 10 mg/kg every 6-8 hours (max 40 mg/kg/day). +- **Precautions:** Avoid if you have stomach ulcers, heart disease, or liver/kidney issues. Avoid alcohol and other NSAIDs without doctor approval. +- **Interactions:** Aspirin, blood thinners, antidepressants, diuretics, ACE inhibitors, and beta-blockers. +- **Storage:** Store at 20-25°C, away from moisture and light. + + +{"type": "function", "function": {"name": "qr_endpoint", "description": "Generates a QR code for the given URL using the RapidAPI QR code service.", "parameters": {"type": "object", "properties": {"url": {"type": "string", "description": "The website URL to encode in the QR code. Defaults to 'www.google.com'.", "default": "www.google.com"}}}}} +{"type": "function", "function": {"name": "convert_hsl", "description": "Converts an HSL color code to other color codes such as Hex, RGB, and CMYK using the Convexity API.", "parameters": {"type": "object", "properties": {"s": {"type": "integer", "description": "The saturation component of the HSL color code.", "default": "78"}, "h": {"type": "integer", "description": "The hue component of the HSL color code.", "default": "250"}, "l": {"type": "integer", "description": "The lightness component of the HSL color code.", "default": "45"}}}}} +{"type": "function", "function": {"name": "convert_date", "description": "Convert a date to a specified calendar format using the Calendar Converter API.", "parameters": {"type": "object", "properties": {"to": {"type": "string", "description": "The target calendar format to which the date will be converted. Possible values are:", "default": ""}, "date": {"type": "string", "description": "The date to be converted, in \"yyyy-mm-dd\" format. Default is '1986-09-03'.", "default": "1986-09-03"}, "is_from": {"type": "string", "description": "The calendar format of the input date. + +Wait, the function's default H is 250. So I can pass those parameters. The user's request doesn't specify H, so maybe that's okay. Alternatively, maybe the user forgot to include H, but since the problem statement mentions only S and L, perhaps default H is fine. Let me proceed with the parameters as described. So the call would be convert_hsl with s=60, h=250 (default), l=40. Convert that to RGB, Hex, and CMYK using the convert_hsl tool. + + + +{"type": "function", "function": {"name": "check_shipping_cost", "description": "Check the shipping cost for an international e-commerce purchase", "parameters": {"type": "object", "properties": {"product_weight": {"type": "number", "description": "The weight of the product in kg (e.g., 0.5, 1.2, 2.3)"}, "destination_country": {"type": "string", "description": "The country to which the product will be shipped (e.g., Australia, Canada, Japan)"}, "shipping_method": {"type": "string", "description": "The preferred shipping method (e.g., Standard, Express)"}}, "required": ["product_weight", "destination_country"]}}} +{"type": "function", "function": {"name": "get_exchange_rate", "description": "Retrieve the exchange rate between two currencies", "parameters": {"type": "object", "properties": {"from_currency": {"type": "string", "description": "The currency code of the starting currency (e.g., USD, EUR)"}, "to_currency": {"type": "string", "description": "The currency code of the converted currency (e.g., CNY, GBP)"}}, "required": ["from_currency", "to_currency"]}}} + + +First, I should figure out the shipping cost using the check_shipping_cost tool. The parameters needed are product_weight (2 kg), destination_country (Canada), and shipping_method. I need to decide on the shipping method—maybe the user just wants the cost for standard shipping. Let me assume Standard unless specified. So I'll call check_shipping_cost with those parameters. + + +{"type": "function", "function": {"name": "get_ip_zipcode", "description": "Retrieves the ZIP code of a given IP address using the ip-api.com API.\n\nArgs:\n ip (str): The IP address to locate.\n\nReturns:\n dict: Location details including ZIP code for the IP address.\n\nRaises:\n ValueError: If the IP address is invalid or not found.", "parameters": {"type": "object", "properties": {"ip": {"type": "string", "description": "The IP address to locate."}}, "required": ["ip"]}}} +{"type": "function", "function": {"name": "is_leap_year", "description": "Checks if a year is a leap year.\n\nArgs:\n year (int): The year to check.\n\nReturns:\n bool: True if the year is a leap year, False otherwise.", "parameters": {"type": "object", "properties": {"year": {"type": "integer", "description": "The year to check."}}, "required": ["year"]}}} +{"type": "function", "function": {"name": "predict_forest_area", "description": "Predicts the change in forest area over a specified number of years.\n\nArgs:\n location (str): The geographic location for the prediction.\n num_years (int): The number of years into the future to make the prediction.\n include_humans (bool, optional): Whether to include human impact. Defaults to False.\n\nReturns:\n dict: Predicted forest area change data.", "parameters": {"type": "object", "properties": {"location": {"type": "string", "description": "The geographic location for the prediction."}, "num_years": {"type": "integer", "description": "The number of years into the future to make the prediction."}, "include_humans": {"type": "boolean", "description": "Whether to include the impact of human activities in the prediction. + +So the most likely answer is "Saving Private Ryan". I should check if that matches. Let me think again: Tom Hanks as the leading role in a war movie directed by Spielberg. Yes, "Saving Private Ryan" fits. So the function search_movies should be called with title not set, actor as Tom Hanks, and director as Steven Spielberg. That should retrieve "Saving Private Ryan". + + +Next, for the velocity calculation. The function is called final_velocity. The parameters are initial_velocity (25 m/s), acceleration (4 m/s²), and time (5 seconds). That makes sense. So I need to call this function with those values to get the final velocity. + +Wait, do I need to make sure about the units? The problem didn't specify units for the velocity calculation, but the parameters are given in m/s and m/s², so the output will be in m/s. The investment part is in dollars, straightforward. + +1. For the investment: Call calculate_investment_return with initial_amount=20000, interest_rate=0.05, num_years=15. The return will be the total after 15 years. Let me calculate that manually to check: starting with $20000 at 5% interest. The formula is A = P(1 + r)^n, where P is principal, r is interest rate per period, n is number of periods. Here, n=15 years, r=0.05 per year. So A = 20000*(1.05)^15. Let me compute that: 1.05^15 ≈ 2.0124, so 20000*2.0124 ≈ 40128. That matches what the function should return. + +Therefore, the answers should be $40128.00 and 45.0 m/s. I need to present them as per the required format, rounding appropriately. The interest calculation might result in a decimal, so I should return it as a float. The velocity is an exact calculation here, so 45.0. + + +Looking at the function definition, the extract tool takes a URL as a required parameter. The optional 'html' parameter determines whether to output raw HTML. Since the user hasn't specified needing HTML, I'll set that to false by default. So the arguments would be {"url": "https://www.linkedin.com/company/abc-corporation"}. + +Here are a few motivational quotes for your team, each with its author for clarity: +1. **"The only way to do great work is to love what you do." - Steve Jobs** +2. **"Believe you can and you're halfway there." - Theodore Roosevelt** +3. **"It always seems impossible until it's done." - Nelson Mandela** +4. **"You are never too old to set another goal or to dream a new dream." - C.S. Lewis** + +The flatten_list tool requires the nested_list parameter, which is a list. So I need to make sure that when I call the tool, I pass the correct structure. The function is straightforward—when provided with a nested list, it flattens it into a single-level list. Therefore, the function call should be straightforward: just pass the list that's nested into the tool. + +So the steps are: call flatten_list with the nested list. The result of that call will be a flattened list. The function call should be done correctly, ensuring the parameter is passed as a dict with 'nested_list' key. The response should return the flattened list as per the tool's output. + + + +{"type": "function", "function": {"name": "find_eco_friendly_products", "description": "Find products that are eco-friendly and match the user's interest in sustainable living, with filters for customer ratings and price range.", "parameters": {"type": "object", "properties": {"interest": {"type": "string", "description": "The user's interest to match the products with."}, "minimum_rating": {"type": "number", "description": "The minimum customer rating for the products."}, "price_range": {"type": "object", "description": "The price range within which to find the products.", "properties": {"low": {"type": "number", "description": "The lower bound of the price range."}, "high": {"type": "number", "description": "The upper bound of the price range."}}}}, "required": ["interest", "minimum_rating", "price_range"]}}} +{"type": "function", "function": {"name": "get_product_details", "description": "Retrieve detailed information about a specific product by its identifier.", "parameters": {"type": "object", "properties": {"product_id": {"type": "string", "description": "The unique identifier of the product."}}, "required": ["product_id"]}}} +{"type": "function", "function": {"name": "filter_products_by_tags", "description": "Filter products based on specific tags such as 'eco-friendly', 'organic','recycled', etc.", "parameters": {"type": "object", "properties": {"tags": {"type": "array", "description": "List of tags to filter the products by.", "items": {"type": "string"}}}, "required": ["tags"]}}} + +First, I need to use the find_eco_friendly_products function. The parameters here are 'interest','minimum_rating', and 'price_range'. The interest is "sustainable living", the minimum rating is 4, since the user didn't specify but typically a high rating. The price range is between $30 and $100. I need to pass all these as JSON objects as per the function's parameters. + +Next, the function will return a list of products meeting these criteria. If there are products, I might need to sort or filter further, but the user hasn't asked for that yet. The response should include the product details as per the function's output which typically includes id, name, price, rating, tags, etc. I'll need to make sure to extract those fields for the final response. + + +Wait, maybe I should check if there are any other relevant tools, but the available functions don't mention anything else that fits. So the `get_random_20_questions` is the right choice here. I'll proceed with that. + + + + + +<|im_end|> +<|im_start|>user + +{"questions": [{"question_text": "What is the capital of France?", "options": [{"option_text": "Paris", "is_correct": true}, {"option_text": "London", "is_correct": false}, {"option_text": "Rome", "is_correct": false}, {"option_text": "Berlin", "is_correct": false}]}, {"question_text": "Which element has the chemical symbol 'O'?", "options": [{"option_text": "Gold", "is_correct": false}, {"option_text": "Oxygen", "is_correct": true}, {"option_text": "Silver", "is_correct": false}, {"option_text": "Iron", "is_correct": false}]}, {"question_text": "Who wrote 'Hamlet'?", "options": [{"option_text": "William Shakespeare", "is_correct": true}, {"option_text": "Charles Dickens", "is_correct": false}, {"option_text": "Jane Austen", "is_correct": false}, {"option_text": "Leo Tolstoy", "is_correct": false}]}, {"question_text": "What is the largest planet in our solar system?", "options": [{"option_text": "Earth", "is_correct": false}, {"option_text": "Jupiter", "is_correct": true}, {"option_text": "Saturn", "is_correct": false}, {"option_text": "Mars", "is_correct": false}]}, {"question_text": "What year did the Titanic sink?", "options": [{"option_text": "1912", "is_correct": true}, {"option_text": "1905", "is_correct": false}, {"option_text": "1898", "is_correct": false}, {"option_text": "1923", "is_correct": false}]}, {"question_text": "What is the hardest natural substance on Earth?", "options": [{"option_text": "Gold", "is_correct": false}, {"option_text": "Iron", "is_correct": false}, {"option_text": "Diamond", "is_correct": true}, {"option_text": "Quartz", "is_correct": false}]}, {"question_text": "What is the currency of Japan?", "options": [{"option_text": "Yen", "is_correct": true}, {"option_text": "Won", "is_correct": false}, {"option_text": "Dollar", "is_correct": false}, {"option_text": "Pound", "is_correct": false}]}, {"question_text": "Which country won the 2018 FIFA World Cup?", "options": [{"option_text": "Germany", "is_correct": false}, {"option_text": "Brazil", "is_correct": false}, {"option_text": "France", "is_correct": true}, {"option_text": "Argentina", "is_correct": false}]}, {"question_text": "Who painted the Mona Lisa?", "options": [{"option_text": "Vincent van Gogh", "is_correct": false}, {"option_text": "Leonardo da Vinci", "is_correct": true}, {"option_text": "Pablo Picasso", "is_correct": false}, {"option_text": "Claude Monet", "is_correct": false}]}, {"question_text": "What is the boiling point of water?", "options": [{"option_text": "100 degrees Celsius", "is_correct": true}, {"option_text": "90 degrees Celsius", "is_correct": false}, {"option_text": "80 degrees Celsius", "is_correct": false}, {"option_text": "110 degrees Celsius", "is_correct": false}]}, {"question_text": "Which planet is closest to the sun?", "options": [{"option_text": "Mercury", "is_correct": true}, {"option_text": "Venus", "is_correct": false}, {"option_text": "Earth", "is_correct": false}, {"option_text": "Mars", "is_correct": false}]}, {"question_text": "What is the largest ocean on Earth?", "options": [{"option_text": "Atlantic Ocean", "is_correct": false}, {"option_text": "Indian Ocean", "is_correct": false}, {"option_text": "Pacific Ocean", "is_correct": true}, {"option_text": "Arctic Ocean", "is_correct": false}]}, {"question_text": "Who discovered penicillin?", "options": [{"option_text": "Marie Curie", "is_correct": false}, {"option_text": "Alexander Fleming", "is_correct": true}, {"option_text": "Louis Pasteur", "is_correct": false}, {"option_text": "Thomas Edison", "is_correct": false}]}, {"question_text": "What is the smallest country in the world?", "options": [{"option_text": "Monaco", "is_correct": false}, {"option_text": "Vatican City", "is_correct": true}, {"option_text": "Luxembourg", "is_correct": false}, {"option_text": "Liechtenstein", "is_correct": false}]}, {"question_text": "In which city would you find the Colosseum?", "options": [{"option_text": "Milan", "is_correct": false}, {"option_text": "Rome", "is_correct": true}, {"option_text": "Naples", "is_correct": false}, {"option_text": "Turin", "is_correct": false}]}, {"question_text": "What is the main ingredient in traditional sushi?", "options": [{"option_text": "Rice", "is_correct": true}, {"option_text": "Fish", "is_correct": false}, {"option_text": "Wasabi", "is_correct": false}, {"option_text": "Seaweed", "is_correct": false}]}, {"question_text": "Who wrote 'Pride and Prejudice'?", "options": [{"option_text": "Emily Bronte", "is_correct": false}, {"option_text": "Jane Austen", "is_correct": true}, {"option_text": "Charlotte Bronte", "is_correct": false}, {"option_text": "Mary Shelley", "is_correct": false}]}, {"question_text": "What gas do plants absorb from the atmosphere?", "options": [{"option_text": "Carbon Dioxide", "is_correct": true}, {"option_text": "Nitrogen", "is_correct": false}, {"option_text": "Oxygen", "is_correct": false}, {"option_text": "Hydrogen", "is_correct": false}]}, {"question_text": "What is the longest river in the world?", "options": [{"option_text": "Amazon River", "is_correct": false}, {"option_text": "Nile River", "is_correct": true}, {"option_text": "Yangtze River", "is_correct": false}, {"option_text": "Mississippi River", "is_correct": false}]}, {"question_text": "Which animal is known as the ship of the desert?", "options": [{"option_text": "Camel", "is_correct": true}, {"option_text": "Horse", "is_correct": false}, {"option_text": "Elephant", "is_correct": false}, {"option_text": "Lion", "is_correct": false}]}]} + +They also asked about Lotto America statistics. The tool provided comprehensive data on numbers and their statistical analysis. I should let them know that I have the information and maybe offer to send it over, but I need to check if they want it delivered in a specific format. + + + +{"type": "function", "function": {"name": "automate_inventory_reordering", "description": "Automatically reorders items when inventory levels fall below a specified threshold.", "parameters": {"type": "object", "properties": {"inventory_data": {"type": "string", "description": "JSON string containing current inventory levels for each item in each warehouse."}, "reorder_threshold": {"type": "string", "description": "JSON string containing the minimum threshold for each item that triggers a reorder."}, "supplier_endpoint": {"type": "string", "description": "The API endpoint of the supplier for placing reorder requests."}}, "required": ["inventory_data", "reorder_threshold", "supplier_endpoint"]}}} +{"type": "function", "function": {"name": "schedule_supplier_shipments", "description": "Schedules shipments from suppliers to warehouses based on inventory needs.", "parameters": {"type": "object", "properties": {"supplier_schedule_data": {"type": "string", "description": "JSON string containing the schedule data for each supplier, including next delivery date and order quantity."}, "warehouse_endpoint": {"type": "string", "description": "The API endpoint of the warehouse for updating shipment schedules."}}, "required": ["supplier_schedule_data", "warehouse_endpoint"]}}} +{"type": "function", "function": {"name": "track_and_reroute_shipments", "description": "Tracks shipments in real-time and reroutes them if potential delays are identified.", "parameters": {"type": "object", "properties": {"shipment_tracking_data": {"type": "string", "description": "JSON string containing tracking data for each shipment, including expected delivery and current status."}, "logistics_provider_endpoint": {"type": "string", "description": "The API endpoint of the logistics provider for tracking and rerouting shipments."}}, "required": ["shipment_tracking_data", "logistics_provider_endpoint"]}}} + +- Supplier schedule data: +```json +{ + "supplier_1": { + "next_delivery_date": "2023-04-15", + "order_quantity": 100 + }, + "supplier_2": { + "next_delivery_date": "2023-04-20", + "order_quantity": 200 + } +} +``` +- Warehouse schedule API endpoint: `https://api.warehouse.com/schedule` + +For schedule_supplier_shipments, supplier_schedule_data is the supplier schedule data, and warehouse_endpoint is the one provided. For track_and_reroute_shipments, shipment_tracking_data is the tracking data and logistics_provider_endpoint is the API given. + +Each function call should be created with the correct parameters. Let me check if all parameters are present. For automate_inventory_reordering, all required parameters are present. Same for the others. Now, construct the XML structure for each tool_call, making sure the data is correctly formatted in JSON as strings where needed. + +Double-check that the endpoints are correctly used. The supplier API for reordering, warehouse API for scheduling, and logistics API for tracking. All look correct. The inventory data is in the correct structure, with warehouse A and B each having item_1 and item_2 counts. Reorder thresholds are correctly referenced. Supplier schedule has the next_delivery_date and order_quantity. Shipment tracking data includes expected delivery and current status. All seems in order. + + + + +{"warehouse_A": {"item_1": 20, "item_2": 50}, "warehouse_B": {"item_1": 15, "item_2": 30}} + + +{"item_1": 25, "item_2": 40} + + +https://api.supplier.com/reorder + + + + + + +{"supplier_1": {"next_delivery_date": "2023-04-15", "order_quantity": 100}, "supplier_2": {"next_delivery_date": "2023-04-20", "order_quantity": 200}} + + +https://api.warehouse.com/schedule + + + + + + +{"shipment_1": {"expected_delivery": "2023-04-10", "current_status": "in_transit"}, "shipment_2": {"expected_delivery": "2023-04-12", "current_status": "delayed"}} + + +https://api.logistics.com/track_and_reroute + + +<|im_end|> +<|im_start|>user + +{"reorder_confirmation": {"warehouse_A": {"item_1": {"reordered_quantity": 30, "reorder_status": "Completed"}}, "warehouse_B": {"item_2": {"reordered_quantity": 50, "reorder_status": "Completed"}}, "api_response": {"status_code": 200, "status_message": "Inventory reordering successful across all warehouses"}}} + +Hmm, I need to make sure I format the input correctly. The function requires an object with a 'text' parameter. So I'll wrap the text in a dictionary with the key 'text'. Then, I'll call the 'analyze_sentiment' function with that argument. + +The sentiment of the text "I am feeling so happy today because I got a promotion at work." is **positive** with a confidence score of 0.98.<|im_end|> +<|im_start|>user +That's correct! How about this one? "I am really upset because I lost my wallet."<|im_end|> +<|im_start|>assistant + +Alright, the user provided another sentence and wants sentiment analysis. The tool's analyze_sentiment function should be used again. The text given is "I am really upset because I lost my wallet." + +This sentence seems to express negative emotions. The user is upset about losing their wallet. Let me wrap the text in the required parameters. The function should return the sentiment, which I expect to be negative. The confidence might be lower than the previous example since the sentiment is more negative? Or maybe the function handles that correctly. Let me just proceed with the same tool call structure. + + + +{"type": "function", "function": {"name": "control_robot_movement", "description": "Control the movement of a robot", "parameters": {"type": "object", "properties": {"robot_id": {"type": "string", "description": "The ID of the robot that you want to control (e.g., robot123)"}, "direction": {"type": "string", "description": "The direction in which you want the robot to move (e.g., forward, backward, left, right)"}, "speed": {"type": "integer", "description": "The speed at which the robot should move (e.g., 5, 10, 20)"}, "duration": {"type": "integer", "description": "The duration for which the robot should move in seconds (e.g., 1, 2, 3)"}}, "required": ["robot_id", "direction", "duration"]}}} +{"type": "function", "function": {"name": "get_micro_nano_robot_status", "description": "Retrieve the status of a micro/nano robot", "parameters": {"type": "object", "properties": {"robot_name": {"type": "string", "description": "The name of the micro/nano robot for which you want to retrieve the status"}}, "required": ["robot_name"]}}} +{"type": "function", "function": {"name": "get_micro_nano_robot_info", "description": "Retrieve information about micro/nano robots", "parameters": {"type": "object", "properties": {"type": {"type": "string", "description": "The type of micro/nano robot you want information about (e.g., swarm robots, medical robots, nanobots)"}, "application": {"type": "string", "description": "Specify the application area of micro/nano robotics (e.g., manufacturing, healthcare, research)"}}, "required": ["type"]}}} + +Alternatively, maybe the tool just returns the input as is, so there's no transformation. In that case, the answer would be no, but that might depend on how the tool is configured. However, since the user is asking for profanity check, and the tool's description says it transforms the payload, perhaps it's supposed to detect and handle profane words. + +Assuming the tool replaces "damn" with an asterisk (*), then the answer is yes. Otherwise, no. But since I don't have the exact behavior of the tool, I should proceed with the assumption that if the transformation includes asterisks, then it's considered profane. Alternatively, maybe the tool just returns the original text without transformation, in which case the answer is no. + +I'm sorry, but the available tools do not include a profanity detection function. The only tool provided is the wrt_transformer, which transforms text using the Walnut word completion API. This tool doesn't specifically flag profanity. To accurately determine if "That was a damn good movie" contains profanity, I would need a tool designed for profanity detection, which isn't currently available. + + +{"type": "function", "function": {"name": "create_draa_splan", "description": "Create a new DRaaS plan", "parameters": {"type": "object", "properties": {"source_location": {"type": "string", "description": "The source location of the data to be protected (e.g., primary data center, on-premises server)"}, "target_location": {"type": "string", "description": "The target location for disaster recovery (e.g., cloud provider data center)"}, "replication_frequency": {"type": "string", "description": "The frequency at which data replication occurs (e.g., hourly, daily, weekly)"}, "retention_period": {"type": "integer", "description": "The length of time data is retained in the target location (in days)"}}, "required": ["source_location", "target_location"]}}} +{"type": "function", "function": {"name": "get_draa_sstatus", "description": "Retrieve the status of DRaaS service", "parameters": {"type": "object", "properties": {"service_id": {"type": "string", "description": "The unique identifier of the DRaaS service"}}, "required": ["service_id"]}}} + + +You are in sequential tool calling mode. Call exactly **one** tool, wait for its , then decide whether to call another. Never bundle multiple blocks in the same message.<|im_end|> +<|im_start|>assistant + +Okay, the user wants to check the status of their DRaaS service with ID 'draas-12345' first. I need to call the get_draa_sstatus function with the service ID provided. Once I get the response, I need to check if the status is 'inactive'. If it is, then I should create a new DRaaS plan using the create_draa_splan function with the specified parameters: source as 'on-premises server', target as 'cloud provider data center', replication frequency 'daily', and retention period 30 days. + + +{"type": "function", "function": {"name": "get_artist_s_albums", "description": "Fetches and returns basic details about the albums of an artist from a given Spotify URL.", "parameters": {"type": "object", "properties": {"spotify_url": {"type": "string", "description": "The URL of the artist's Spotify page.", "default": "https://open.spotify.com/artist/1nIUhcKHnK6iyumRyoV68C"}}}}} +{"type": "function", "function": {"name": "artist_discography_overview", "description": "Fetches the discography overview of a specified artist using the Spotify API.", "parameters": {"type": "object", "properties": {"is_id": {"type": "string", "description": "The unique identifier of the artist.", "default": "2w9zwq3AktTeYYMuhMjju8"}}}}} + + +Wait, let me confirm the URL. Yes, I believe that's correct. Then I'll call get_artist_s_albums with the URL and artist_discography_overview with the ID. I should structure the tool calls correctly as per the function parameters. Let me make sure the parameters are in the right format for each tool. The get_artist_s_albums needs the Spotify URL, and artist_discography_overview needs the ID. The functions should return the album details and overview, respectively. I'll put these calls into the appropriate JSON format for each tool. + + + +{"type": "function", "function": {"name": "transform_image", "description": "Transform an image by applying various effects and resizing", "parameters": {"type": "object", "properties": {"string": {"type": "string", "description": "The image string to transform"}, "grayscale": {"type": "boolean", "description": "Convert the image to grayscale", "default": true}, "rotate": {"type": "number", "description": "Rotate the image by the specified degrees", "default": 90}, "blur": {"type": "number", "description": "Apply a blur effect to the image", "default": 4}, "resize": {"type": "string", "description": "Resize the image to the specified width and height", "default": "100,100"}}, "required": ["string"]}}} +{"type": "function", "function": {"name": "get_history", "description": "Returns the history of web image storage as pages", "parameters": {"type": "object", "properties": {"pageSize": {"type": "integer", "description": "The size of one page"}, "page": {"type": "integer", "description": "The page you want to return, starting at 0"}}, "required": ["pageSize", "page"]}}} + + +The transform_image tool needs the image URL, and parameters for grayscale conversion, rotation (maybe none?), blur (probably 0), and resize to 800x600. I should check if the user specified any other effects, but the original query only mentions converting to grayscale and resizing. Let me confirm: original query says "convert to grayscale and resize to 800x600". So no blur or rotation needed. + +First, for the environmental data, I need to call the getEnvironmentalData function. The parameters are data_center_id set to "SEATTLE_DC_01" and sensors as ["TEMP_SENSOR_783", "HUMID_SENSOR_342", "AIRFLOW_SENSOR_556"]. That's straightforward. + +I should make sure all dates are in the correct format. The maintenance window is already in ISO 8601, which should be okay. The sensors are correctly listed. All parameters look right. No need for any additional data; the user hasn't mentioned any other parameters. Just proceed with these three function calls. + + + + + +SEATTLE_DC_01 + + +["TEMP_SENSOR_783", "HUMID_SENSOR_342", "AIRFLOW_SENSOR_556"] + + + + + + +CHILLER_128 + + +2023-05-15T08:00:00Z/2023-05-29T18:00:00Z + + + + + + +SEATTLE_DC_01 + + +last_month + + +<|im_end|> +<|im_start|>system +Reasoning effort is set to xhigh. Please think carefully through the task, validate key assumptions, consider plausible alternatives, and prioritize correctness, consistency, and clarity in the final answer. + +First, I need to create a FunctionCall object with the name "get_movie_details" and the arguments including the title "Inception". The structure should be in the correct JSON format as specified. Then, I'll wrap that in a + +tag with the name and arguments. + +Wait, the user said "tell me about the movie", so maybe they want a summary or some details like plot, cast, director, etc. The get_movie_details function should return those details. I don't have to worry about what the exact output looks like; the AI will format it appropriately. So my function call is correct here. + + +Wait, there's a syntax error here. The for loop variable is missing a colon. Instead of 'each_char in s', it should be 'char in s' (or any variable name). Also, there's a space before 'print(count_vowels('python')), which is a syntax error. Also, the user might want to handle case sensitivity or counting uppercase vowels as well. But the code as written has a syntax error. The function definition is correct except for the loop syntax. The print line has a space before the parentheses. + +```python +def count_vowels(s): + vowels = 'aeiouAEIOU' # Include both lowercase and uppercase vowels + count = 0 + for char in s: + if char in vowels: + count += 1 + return count + +**Issues to consider:** +- The original code didn't handle uppercase vowels. Adding them to the `vowels` string fixes this. +- The loop variable `char` is used instead of `each_char` to follow standard naming conventions. +- The space before the function call is removed. + +First, I need to use the generate_music_composition function from the provided tools. The parameters match perfectly with the user's request. Let me check the function's parameters again to ensure all are covered: theme, duration, mood, tempo, instruments. + +Yes, the theme is "fantasy", duration 180 seconds (3 minutes), mood "enchanting", tempo 120 BPM, and instruments include strings, woodwinds, percussion. I think these all match. The function should generate the required piece. I'll make the API call with these parameters. + + +1. **Oak Hill Elementary** + - **City/State:** Austin, TX + - **Rating:** 4/5 + - **Reviews:** 152 + - **URL:** [GreatSchools Profile](https://www.greatschools.org/texas/austin/oak-hill-elementary/) + +Historical dialog data is as follows: +Inquirer: Could you please check the popularity of the genre "rock" over the last month? Also, I'd like to know the music genre of the artist "David Bowie" during his mid-career and the popularity of the genre "pop" over the last week. +Response assistant: Could you please specify the time frame (Early Career, Mid Career, Late Career) for David Bowie's genre information during his mid-career? I'll also fetch the popularity of "rock" over the last month and "pop" over the last week. +Inquirer: David Bowie's mid-career. + +The first 20 Fibonacci numbers are: 0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144, 233, 377, 610, 987, 1597, 2584, 4181.<|im_end|> +<|im_start|>system +Reasoning effort is set to xhigh. Please think carefully through the task, validate key assumptions, consider plausible alternatives, and prioritize correctness, consistency, and clarity in the final answer. + +First, the ublacklist.txt for 'counter-strike' game. The available tool for this is ublacklist_txt, which requires the game parameter. So I'll need to call that function with 'counter-strike' as the game name. + +Next, the top grossing iOS apps in the Education category in Australia. The top_grossing_ios_apps function can do that. The parameters needed are country (Australia, which is 'au'), category (Education, maybe the code for Education? Wait, the default category is 6016, but I need to check what the Education category code is. Wait, let me recall the categories. The default is 6016 which is Games. Education might be another code. Wait the documentation says category is "6016" by default for 'top grossing iOS apps', but I think the user wants Education. Maybe the Education category ID is different. Let me check. Oh, perhaps the category ID for Education is 6014? Or maybe another code. Wait, perhaps the user might need to specify it. Wait, the function parameters for top_grossing_ios_apps have a category parameter, but the user didn't specify the category ID. So I need to confirm what the category ID for Education is. Alternatively, maybe the user intended '6014' or '6002' or another code. Wait, I think the standard category codes for App Store are under the Apple Developer Guide. For example, Education is often 6014. Let me confirm that. Alternatively, maybe the user can pass '6014' as the category parameter. But since I don't have the exact code here, maybe the user expects the default category, which is 6016 (Games), but that's not what they want. Wait, the top_grossing_ios_apps function's default category is 6016, but the user wants Education. + + +{"type": "function", "function": {"name": "extract_employee_payroll_data", "description": "Extracts payroll-related data for all employees from the HR system.", "parameters": {"type": "object", "properties": {"fields": {"type": "array", "description": "A list of payroll-related fields to be extracted for each employee.", "items": {"type": "string"}}}, "required": ["fields"]}}} +{"type": "function", "function": {"name": "calculate_payroll", "description": "Calculates the net salary for each employee after deductions.", "parameters": {"type": "object", "properties": {"employee_id": {"type": "integer", "description": "The unique identifier of the employee."}, "current_salary": {"type": "number", "description": "The current gross salary of the employee."}, "tax_deductions": {"type": "number", "description": "The total tax deductions for the employee."}, "hours_worked": {"type": "number", "description": "The total number of hours worked by the employee in the pay period."}}, "required": ["employee_id", "current_salary", "tax_deductions", "hours_worked"]}}} +{"type": "function", "function": {"name": "generate_payroll_report", "description": "Generates a detailed payroll report for all employees.", "parameters": {"type": "object", "properties": {"payroll_data": {"type": "array", "description": "An array of payroll data objects for each employee.", "items": {"type": "object"}}}, "required": ["payroll_data"]}}} + + +Reminder: +- Function calls MUST follow the specified format: an inner block must be nested within XML tags +- Required parameters MUST be specified +- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after +- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls +<|im_end|> +<|im_start|>user +I am currently processing our company's monthly payroll and need to obtain specific payroll-related data for each of our employees from our HR system. The data needed includes each employee's unique identifier (employee ID), their full name, the department they are assigned to, as well as details on their current gross salary, total tax deductions for the month, and the total number of hours they have worked during the pay period. This information is crucial for calculating net salaries and ensuring accurate payroll reporting. + +I need to structure the XML correctly. The `extract_employee_payroll_data` function takes 'fields' as an array of strings. So I'll need to list those fields as the fields parameter. Then, the response will be an array of objects with those fields. The user might want to use this data next for calculations and reports, but the current request is just to extract it. + + +To proceed with payroll calculations and report generation, you can use the following steps: +1. **Calculate Net Salaries**: Use the `calculate_payroll` function for each employee with their gross salary, tax deductions, and hours worked to compute net salary. +2. **Generate Payroll Report**: Use the `generate_payroll_report` function with the payroll data array (including the calculated net salaries) to create a detailed report. + +calculate_payroll_result = calculate_payroll( + employee_id=1462, + current_salary=5500, + tax_deductions=1100, + hours_worked=160 +) +print(calculate_payroll_result) # Output: {'employee_id': 1462, 'full_name': 'John Doe', 'department': 'Sales', 'net_salary': 4400} + +So, the function call should be straightforward. The parameters match exactly the ones required for the count function. Let me check again: all required parameters are present and correct. The function name is "count" and the parameters are passed as a dictionary. The timezone is CET, which is 'Europe/Berlin', so that's correct. The session ID might be optional. Wait, the user hasn't provided any session ID, but maybe the count function requires it. Let me check the function parameters again. Yes, sess is required. Oh, this is a problem. The user hasn't provided a session ID, which is a required parameter. The function will fail unless the sess is provided. But the user didn't include it in their request. + +I'm sorry, but there's an issue with your request. The `count` function requires a session ID (`sess`) as a required parameter, but it wasn't provided in your request. Could you please check if you included all the necessary parameters or provide the missing session ID so I can assist you further? + +If you don't have a valid session ID, you might need to authenticate or retrieve one first (if applicable) before making this API call. Let me know if you have any additional information or corrections to the parameters. + + +Apologies, but the language_trend_analysis tool requires structured historical data in a specific format. To use it as intended, I need the historical data for each year (2010-2019) to be provided in the exact structure outlined in the tool's parameters: an array where each element is a dictionary containing the year and an array of language dictionaries (each with `language_name` and `usage_percentage`). + +```json +[ + { + "year": 2010, + "languages": [ + {"language_name": "English", "usage_percentage": 58.6}, + {"language_name": "French", "usage_percentage": 21.3}, + {"language_name": "Other", "usage_percentage": 20.1} + ] + }, + ... + { + "year": 2019, + "languages": [ + {"language_name": "English", "usage_percentage": 58.8}, + {"language_name": "French", "usage_percentage": 21.4}, + {"language_name": "Other", "usage_percentage": 19.8} + ] + } +] +``` + +Wait, perhaps I should compute the decimal representations. Let me calculate π as approximately 3.14159. So for 10π: 10 * 3.14159 = 31.4159, and 20π would be 20 * 3.14159 = 62.8318. Therefore, the exact answers are 10π and 20π, which are approximately 31.4159 and 62.8318, respectively. Since the user didn't specify to approximate, maybe present both exact and approximate. But if the tools don't have a function to calculate π, then I can't compute the decimal. Wait, but π is a constant, right? So maybe the user expects just the exact form. But in most practical contexts, people expect decimal approximations. However, the problem doesn't specify. So, perhaps safer to give both. Alternatively, maybe the answer expects the exact value. Let me check standard practice. In math problems, unless told otherwise, both are acceptable. But since the user is asking for the circumference, which can be presented in terms of π or as a decimal. Since the tools available don't have π, maybe I can't calculate the exact decimal value unless I know the value of π. But since π is a mathematical constant, I can probably just present it as a constant. Wait, but the user might want a numerical answer. Hmm. + +{"type": "function", "function": {"name": "min_meeting_rooms", "description": "Finds the minimum number of meeting rooms required to accommodate all meetings.", "parameters": {"type": "object", "properties": {"intervals": {"type": "array", "description": "A list of meeting time intervals, where each interval is represented as [start_time, end_time].", "items": {"type": "array"}}}, "required": ["intervals"]}}} +{"type": "function", "function": {"name": "potential_energy", "description": "Calculates the electrostatic potential energy given the charge and voltage.", "parameters": {"type": "object", "properties": {"charge": {"type": "number", "description": "The electric charge."}, "voltage": {"type": "number", "description": "The electric potential difference (voltage)."}}, "required": ["charge", "voltage"]}}} +{"type": "function", "function": {"name": "find_pairs_with_sum", "description": "Finds all pairs of integers in a list that sum up to a target value.", "parameters": {"type": "object", "properties": {"nums": {"type": "array", "description": "The list of integers.", "items": {"type": "integer"}}, "target": {"type": "integer", "description": "The target sum value."}}, "required": ["nums", "target"]}}} +{"type": "function", "function": {"name": "solve_quadratic", "description": "Computes the roots of a quadratic equation given its coefficients.", "parameters": {"type": "object", "properties": {"a": {"type": "number", "description": "The coefficient of the quadratic term (x^2)."}, "b": {"type": "number", "description": "The coefficient of the linear term (x)."}, "c": {"type": "number", "description": "The constant term."}}, "required": ["a", "b", "c"]}}} + + +{"type": "function", "function": {"name": "searchzodiacbysign", "description": "Fetches information about a zodiac sign from the Zodiac API.\n\n Args:\n sign (str): The zodiac sign to search for. Ensure the first letter is capitalized.\n\n Returns:\n Information about the specified zodiac sign.\n ", "parameters": {"type": "object", "properties": {"sign": {"type": "string", "description": "The zodiac sign to search for. Ensure the first letter is capitalized."}}, "required": ["sign"]}}} +{"type": "function", "function": {"name": "top_posts_by_username", "description": "Fetches the top posts by a specific Reddit username within a specified time frame.\n\n Args:\n username (str): The Reddit username to fetch top posts for.\n time (str): The time period to consider for top posts. Allowed values are 'hour', 'day', 'week','month', 'year', 'all'.\n cursor (str, optional): A cursor for pagination to retrieve the next set of results.\n\n Returns:\n Top posts by the specified Reddit user within the given time frame.\n ", "parameters": {"type": "object", "properties": {"username": {"type": "string", "description": "The Reddit username to fetch top posts for."}, "time": {"type": "string", "description": "The time period to consider for top posts. Allowed values are 'hour', 'day', 'week','month', 'year', 'all'."}, "cursor": {"type": "string", "description": "A cursor for pagination to retrieve the next set of results."}}, "required": ["username", "time"]}}} + + +{"type": "function", "function": {"name": "get_slope_stability", "description": "Retrieve slope stability analysis results", "parameters": {"type": "object", "properties": {"location": {"type": "string", "description": "The location of the slope (e.g., mountainous region, construction site)"}, "slope_angle": {"type": "number", "description": "The angle of the slope in degrees (e.g., 30, 40, 50)"}, "slope_height": {"type": "number", "description": "The height of the slope in meters (e.g., 10, 20, 30)"}, "slope_material": {"type": "string", "description": "The material of the slope (e.g., soil, rock)"}, "water_content": {"type": "number", "description": "The water content of the slope material in percentage (e.g., 5, 10, 15)"}, "slope_geometry": {"type": "string", "description": "The geometry of the slope (e.g., simple slope, compound slope, concave slope)"}, "slope_conditions": {"type": "string", "description": "The conditions of the slope (e.g., dry, saturated, partially saturated)"}, "depth_of_failure": {"type": "number", "description": "The depth of failure of the slope in meters (e.g., 5, 10, 15)"}}, "required": ["location", "slope_angle", "slope_height", "slope_material"]}}} +{"type": "function", "function": {"name": "calculate_factor_of_safety", "description": "Calculate the factor of safety for slope stability analysis", "parameters": {"type": "object", "properties": {"safety_factor": {"type": "number", "description": "The minimum acceptable factor of safety for stability"}, "slope_height": {"type": "number", "description": "The height of the slope in meters"}, "slope_angle": {"type": "number", "description": "The angle of the slope in degrees"}, "cohesion": {"type": "number", "description": "The cohesion of the soil in kPa"}, "friction_angle": {"type": "number", "description": "The friction angle of the soil in degrees"}, "unit_weight": {"type": "number", "description": "The unit weight of the soil in kN/m^3"}}, "required": ["safety_factor", "slope_height", "slope_angle", "cohesion", "friction_angle", "unit_weight"]}}} + +Let me start by calling the 'get_slope_stability' function with these parameters. After getting the results, I should check if the factor of safety is sufficient. If it's below 1.5, then I need to calculate the reinforcement required. The 'calculate_factor_of_safety' tool can be used for that calculation. If the factor of safety is already above 1.5, no reinforcement is needed. I should present both the stability check and the potential reinforcement plan based on the results. + + + + + +near the Rockies + + +30 + + +20 + + +sandy soil + + +10 + + +simple slope + + +partially saturated + + +null + + +<|im_end|> +<|im_start|>user + +{"factor_of_safety": 1.2, "mode_of_failure": "rotational", "critical_slope_angle": 25.0, "required_reinforcement": "soil nails, 50 pieces"} +<|im_end|> +<|im_start|>assistant + +Okay, the slope stability analysis results show a factor of safety of 1.2, which is below the required 1.5. This means the slope is unstable. The mode of failure is rotational, likely around a circular arc. The critical slope angle is 25 degrees, suggesting that reducing the current 30-degree angle might help. The required reinforcement is soil nails, 50 pieces. + +First, I need to check the available tools. The only tool provided is `extract_tableau_data`. Looking at its parameters, it requires the workbook_path, sheet_name, and columns. The filters parameter is an object, so I need to structure the date_range correctly. The start and end dates are given as specified. + +Putting it all together, I'll call the `extract_tableau_data` function with these parameters. The response should give me a table with the extracted data. The user might want the data for analysis, so making sure the columns and filters are correctly applied is crucial. + + +First, I need to call the create_virtual_network function. The parameters are name, address_space, location, and subnets. The subnets array will have two objects with names Subnet1 and Subnet2, each with their respective address prefixes. + + + +{"vpn_gateway": {"name": "VNet1Gateway", "id": "/subscriptions/sub_id/resourceGroups/rg1/providers/Microsoft.Network/virtualNetworkGateways/VNet1Gateway", "location": "East US", "gateway_type": "Vpn", "vpn_type": "RouteBased", "sku": "VpnGw1", "virtual_network_id": "/subscriptions/sub_id/resourceGroups/rg1/providers/Microsoft.Network/virtualNetworks/VNet1"}} + + +{"private_connection": {"name": "PrivateConnection1", "id": "/subscriptions/sub_id/resourceGroups/rg1/providers/Microsoft.Network/virtualNetworks/VNet1/virtualNetworkPeerings/PrivateConnection1", "peerings": [{"name": "onpremPeering", "peer_vnet_id": "/subscriptions/sub_id/resourceGroups/rg1/providers/Microsoft.Network/virtualNetworks/onpremVNet", "state": "Connected"}], "virtual_network_id": "/subscriptions/sub_id/resourceGroups/rg1/providers/Microsoft.Network/virtualNetworks/VNet1"}} + + +{"ddos_protection": {"virtual_network_name": "VNet1", "enable_ddos_protection": true, "ddos_protection_plan": {"id": "/subscriptions/sub_id/resourceGroups/rg1/providers/Microsoft.Network/ddosProtectionPlans/virtualNetworks/VNet1", "location": "East US"}}} +<|im_end|> +<|im_start|>assistant + +Okay, the assistant needs to generate a summary based on the tool responses provided. Let me parse through each response to extract the relevant information for each action the user requested. + +Wait, the available tools include "language_by_id" but none that relate to pin codes. Maybe I should apologize to the user and explain that the provided tools aren't suitable for this request. I should inform them that the available tools are for language information and not postal codes, hence I can't fetch the details they need. Let them know that more suitable tools should be available for this kind of query if they have them, but since they're not present here, I can't proceed. + + +First, I need to construct the parameters for the function call. The device ID is'switch-04' and the metrics list includes 'cpu_utilization','memory_usage', 'packet_loss', and 'throughput'. So the arguments for fetch_snmp_metrics should be device_id:'switch-04' and metrics: ['cpu_utilization','memory_usage', 'packet_loss', 'throughput']. + +I'll call the fetch_snmp_metrics function with these parameters. The response will be a JSON object containing the gathered metrics. Then, I should present those metrics to the user, formatted in a structured way. + + +1. **Stranger Things** (2016) - ID: 80100172 +2. **The Witcher** (2019) - ID: 80189685 +3. **Money Heist** (2017) - ID: 80192098 +4. **Bridgerton** (2020) - ID: 80232398 +5. **Ozark** (2017) - ID: 80117552 + +So, start with the update_salesforce_contact function. The parameters are contact_id, email, phone. The contact ID is '003B00000067Rnx', email is 'erika.mustermann@example.com', and phone is '+49 30 123456'. I need to pass these as the arguments to the update function. + +I also need to present the function calls in the right XML format. Each function call wraps the name and arguments. So first the update_salesforce_contact with the parameters, then retrieve_salesforce_contact with the contact ID. Let me check if there's any order or prerequisites, but I think these can be done sequentially. The retrieve is dependent on the update completing, but maybe the system handles that. So execute the update first, then retrieve. + + + +Okay, the user wants to convert a hex color code #4A90E2 to RGB and CMYK. First, I need to figure out which tool or function can handle this. Looking at the available tools, there's a color_conversion_api. That seems like the right tool because it can convert HSL to other color codes, which includes hex, RGB, and CMYK. + +Wait, the user provided a hex code, not HSL values. So maybe I need to convert the hex code to HSL first using a different method. But wait, the color_conversion_api requires HSL inputs. Hmm, do I have any other tools that can convert hex to HSL? Let me check the available tools again. The color_conversion_api is the only color-related tool here. There's no direct conversion from hex to RGB or CMYK without using HSL as an intermediate step. So perhaps I need to convert the hex code to HSL first, then use that to get RGB and CMYK. + +The approximate HSL values would be H: 213.58°, S: 60%, L: 48.24%. So HSL is approximately (213.58, 60, 48.24). Let me confirm that with a calculator. Let me check online... Hmm, maybe I should just proceed with the calculation. + +Wait, wait, the user might have a specific reason for including variations. Maybe they want all possible splits, not just the default ones. So setting include_variations to True makes sense here. The max_size isn't mentioned, but since the default is 1024, I think that's okay. Let me construct the function call with these parameters. + + +{"type": "function", "function": {"name": "list_folder_contents", "description": "Retrieves the contents of a specified Github repository folder using the Git Pager API.", "parameters": {"type": "object", "properties": {"repo": {"type": "string", "description": "The repository name in the format 'owner/repo'. Defaults to 'gina305/switch-code'.", "default": "gina305/switch-code"}, "path": {"type": "string", "description": "The filepath within the repository. Defaults to '/'.", "default": "/"}, "key": {"type": "string", "description": "The access token for Github API authentication.", "default": "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"}}}}} +{"type": "function", "function": {"name": "software_assets", "description": "Fetch details of SaaS/Software tools based on specified feature tags or software name.", "parameters": {"type": "object", "properties": {"q": {"type": "string", "description": "Query string representing the list of feature tags or the name of the software for which details are to be fetched.", "default": "email-marketing, landing-pages"}}}}} +{"type": "function", "function": {"name": "label_sizes", "description": "Fetches a list of label sizes in the specified format from the RapidAPI service.", "parameters": {"type": "object", "properties": {"format": {"type": "string", "description": "The paper size format. Can be either \"Letter\" for 8.5 inch by 11 inch, or \"A4\" for 210 mm by 297 mm.", "default": "letter"}, "shape": {"type": "string", "description": "The label shape. + +The user didn't specify the function. Hmm, the integrate function requires "function" as a parameter. So unless the user gives that, I can't proceed. Therefore, I should apologize and ask them to provide the function. That makes sense. I should explain that the function is missing and request it. + + +Wait, I should call the get_support_ticket_status function with the ticket ID 12345. Once I get the response, I need to check if the assignee is already set. If the assignee is not 'john_doe', then I need to call the assign_ticket function to assign it to him. Otherwise, there's nothing to do. + +I need to make sure I handle the function calls in order. So first get the status, then check, then assign if needed. The user didn't specify any other conditions, just to check and assign if necessary. So the steps are: check, then act on the check result. + + + +{"type": "function", "function": {"name": "get_music_criticism", "description": "Retrieve music criticism for a specific song or album", "parameters": {"type": "object", "properties": {"song_name": {"type": "string", "description": "The name of the song you want to get criticism for (e.g., 'Shape of You', 'Bohemian Rhapsody')"}, "album_name": {"type": "string", "description": "The name of the album you want to get criticism for (e.g., 'Thriller', 'Abbey Road')"}, "critic_name": {"type": "string", "description": "The name of the music critic (optional)"}}, "required": ["song_name"]}}} +{"type": "function", "function": {"name": "get_music_review", "description": "Retrieve a review of a music album or song", "parameters": {"type": "object", "properties": {"artist": {"type": "string", "description": "The artist of the music album or song"}, "title": {"type": "string", "description": "The title of the music album or song"}, "source": {"type": "string", "description": "The source of the music review (e.g., Rolling Stone, Pitchfork, NME)"}}, "required": ["artist", "title"]}}} + + +After obtaining the review, I can then feed the album name into get_music_criticism tool to retrieve criticism. The function allows me to specify the album name as 'Evermore'. I need to check if the critic's name is required, but since it's optional, I can leave it out. So, first call get_music_review, then with the review data, call get_music_criticism. + + +The "fedora_image_fedora_get" tool looks suitable for fetching data from the Fedora image API. The user needs to provide a URL as input. Let me check the parameters required for that function. The function requires a dictionary with a "url" key and "str" as the type. So I need to create a dictionary with the URL as the value for "url". + +Alternatively, maybe the user is referring to an image that's part of the conversation's context. But since this is a new query and there's no prior context provided, I can't proceed without the URL. Therefore, I need to inform the user that I require the image URL to fetch data from Fedora image API, and I can't proceed without it. + + + +{"type": "function", "function": {"name": "create_quantum_workspace", "description": "Creates a new Azure Quantum workspace with the specified name and location.", "parameters": {"type": "object", "properties": {"workspace_name": {"type": "string", "description": "The name for the new quantum workspace."}, "location": {"type": "string", "description": "The Azure region where the workspace will be created."}}, "required": ["workspace_name", "location"]}}} +{"type": "function", "function": {"name": "estimate_quantum_resources", "description": "Estimates the resources required for a quantum solution based on the number of qubits, surface code distance, and error budget.", "parameters": {"type": "object", "properties": {"qubits_required": {"type": "integer", "description": "The number of qubits required for the quantum solution."}, "surface_code_distance": {"type": "integer", "description": "The surface code distance for error correction."}, "error_budget": {"type": "number", "description": "The acceptable error budget for the quantum solution."}}, "required": ["qubits_required", "surface_code_distance", "error_budget"]}}} +{"type": "function", "function": {"name": "submit_quantum_program", "description": "Submits a quantum program written in a specified language to Azure Quantum, targeting a specific quantum emulator or processor.", "parameters": {"type": "object", "properties": {"language": {"type": "string", "description": "The programming language used for the quantum program."}, "target": {"type": "string", "description": "The target quantum emulator or processor for the program."}}, "required": ["language", "target"]}}} + +First, the workspace creation. The user wants a workspace named 'ChemSimulationProject' in the 'East US' region. That's straightforward; I'll use the create_quantum_workspace function with those parameters. + +Third, submitting the Q# program. The user wrote their program in Q# and wants to target the Quantinuum H-Series Emulator. The submit_quantum_program function needs the language (Q#) and target (Quantinuum H-Series Emulator). Wait, let me look up the exact target name to make sure. I think the target might be the emulator's specific name, maybe something like "quantinuum-h-series-emulator". Let me confirm, but since the user specified it, I'll proceed with that. + +I need to create the function calls for each step, passing the correct parameters. Then, execute them one by one, and if any need more info, prompt the user. But the user seems to have provided all needed details. After creating the workspace, getting the resource estimate, then submitting the program. Each function call should be in order. Let me make sure I don't miss any parameters. For the workspace, location is required. For resources, all three parameters. For submission, language and target. + +Looking back at the query, the user just says "revenue forecast for the next quarter" without mentioning a specific company. The system can't determine which company's revenue they're interested in without more details. I should inform the user that they need to provide the stock ticker for the company they're asking about. The tools provided don't have any other way to determine the company on their own. So, I'll need to ask the user for the missing information. + + +But since the available tools don't include a search function for podcasts, I might need to inform the user that their request can't be fulfilled with the current tools. However, maybe there's another way. Wait, no—there's no indication of another tool. The user mentioned "I heard this talk," which suggests they might have been searching via a podcast app, but without specific details. Since the tools provided don't include podcast search functionality, I should apologize and explain the limitation. + + +After calling the function, the response will include the athlete ranking data. The output should list the athletes ranked in that category, along with their details like name, country, and maybe their achievements. I should present this data clearly, maybe in a list format, so the user can see the top athletes. + + + + + +null + + +<|im_end|> +<|im_start|>user + +{'rankings': [{'rank': 1, 'name': 'Jun Jang', 'country': 'South Korea', 'points': 412.5}, {'rank': 2, 'name': "Vito Dell'Aquila", 'country': 'Italy', 'points': 389.2}, {'rank': 3, 'name': 'Omar Guzman', 'country': 'Mexico', 'points': 356.8}, {'rank': 4, 'name': 'Ramnarong Sawekwiharee', 'country': 'Thailand', 'points': 342.1}, {'rank': 5, 'name': 'Armin Hadipour Seighalani', 'country': 'Iran', 'points': 329.7}], 'total_athletes': 47, 'weight_category': 'Under-54kg'} +<|im_end|> +<|im_start|>assistant + +Okay, the user is asking about the leading under-54 Taekwondo athletes globally. The provided tool, get_u_54_athlete_ranking, was called with country set to None, so it fetched the global rankings. The response includes a list of athletes ranked from 1 to 5, with their names, countries, and points. The total number of athletes in the rankings is 47, in the under-54kg category. + +I should create two separate function calls, each with the respective month and year. The function name is get_the_market_calendar, passing month and year as arguments. Each call will return a market calendar for that specific month and year. + +I need to make sure I get the function calls right. The create_incident requires the description, urgency, and impact. The update_incident_status needs the incident_id and the new status. I'll check the parameters again to make sure I get them in the right format. + +For the new incident, the urgency can be 'high' and impact'significant', which are both valid options. The existing incident's ticket ID is given, so no problem there. Let me structure the function calls properly in the correct order, first creating the new one and then updating the existing one. + + + + + +Email service outage + + +high + + +significant + + + + + + +INC0012345 + + +resolved + + +<|im_end|> +<|im_start|>user + +{"incident_id": "INC20230418XZ1290", "description": "Email service outage", "urgency": "high", "impact": "significant", "status": "new", "creation_date": "2023-04-18T09:32:00Z", "service": "Email Services", "affected_users": "Approx. 1200 users across multiple departments", "expected_resolution_time": "2023-04-18T15:00:00Z", "assigned_team": "Network Operations Center", "incident_manager": "Jane Doe", "contact_info": "janedoe@email.com", "updates": "Monitoring the situation, technicians working on restoring service."} + + +{"incident_id": "INC0012345", "status": "resolved", "resolution_date": "2023-04-18T08:45:00Z", "resolution_steps": "Root cause identified as network switch failure, replaced faulty hardware and service restored.", "downtime_duration": "2 hours 35 minutes", "impact_analysis": "Significant disruption to email communication and workflows, major departments affected.", "follow_up_actions": "Conducting a detailed review of network hardware health and updating maintenance protocols."} + +Both actions have been successfully completed. A new incident ticket (ID: INC20230418XZ1290) has been created with the specified parameters, and the existing incident with ID INC0012345 has been updated to a'resolved' status. All details of the new incident and the resolution steps for the updated incident have been recorded in the ServiceNow system.<|im_end|> +<|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|> + +Thought: The user wants to book a flight from New York to London. I need to check available flights first. +Action: {"name": "search_flights", "arguments": {"origin": "JFK", "destination": "LHR", "departure_date": "2024-03-15", "return_date": "2024-03-22", "passengers": 1}} +Observation: [{"flight_number": "BA178", "airline": "British Airways", "departure": "10:30", "arrival": "22:15", "price": 542}, {"flight_number": "AA734", "airline": "American Airlines", "departure": "14:15", "arrival": "06:45+1", "price": 618}] + +Thought: The user wants to send an email to their team. I'll use the send_email function. +Action: {"name": "send_email", "arguments": {"to": ["alice@company.com", "bob@company.com"], "subject": "Q3 Planning Meeting", "body": "Hi team,\n\nPlease join our Q3 planning meeting on March 15th at 2 PM EST. We'll discuss roadmap priorities and resource allocation.\n\nBest regards,\nJohn"}} +Observation: {"status": "sent", "message_id": "msg_abc123", "timestamp": "2024-03-10T14:32:15Z"} + +{"name": "create_project", "description": "Create a new project", "parameters": {"type": "object", "properties": {"name": {"type": "string"}, "description": {"type": "string"}, "owner_id": {"type": "integer"}, "deadline": {"type": "string", "format": "date"}, "tags": {"type": "array", "items": {"type": "string"}}}, "required": ["name", "description", "owner_id", "deadline"]}} + +CREATE TABLE users ( + id BIGINT PRIMARY KEY AUTO_INCREMENT, + email VARCHAR(255) NOT NULL UNIQUE, + password_hash VARCHAR(255) NOT NULL, + first_name VARCHAR(100), + last_name VARCHAR(100), + created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, + updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP, + is_active BOOLEAN DEFAULT TRUE, + last_login TIMESTAMP NULL, + INDEX idx_email (email), + INDEX idx_created_at (created_at) +) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci; + +CREATE TABLE projects ( + id BIGINT PRIMARY KEY AUTO_INCREMENT, + name VARCHAR(200) NOT NULL, + description TEXT, + owner_id BIGINT NOT NULL, + status ENUM('planning', 'active', 'on_hold', 'completed', 'cancelled') DEFAULT 'planning', + start_date DATE, + deadline DATE, + budget DECIMAL(12,2), + created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, + updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP, + FOREIGN KEY (owner_id) REFERENCES users(id) ON DELETE RESTRICT, + INDEX idx_owner (owner_id), + INDEX idx_status (status), + INDEX idx_deadline (deadline) +) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci; + +CREATE TABLE project_members ( + project_id BIGINT NOT NULL, + user_id BIGINT NOT NULL, + role ENUM('owner', 'admin', 'member', 'viewer') DEFAULT 'member', + joined_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, + PRIMARY KEY (project_id, user_id), + FOREIGN KEY (project_id) REFERENCES projects(id) ON DELETE CASCADE, + FOREIGN KEY (user_id) REFERENCES users(id) ON DELETE CASCADE +) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci; + +CREATE TABLE comments ( + id BIGINT PRIMARY KEY AUTO_INCREMENT, + task_id BIGINT NOT NULL, + author_id BIGINT NOT NULL, + content TEXT NOT NULL, + created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, + updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP, + FOREIGN KEY (task_id) REFERENCES tasks(id) ON DELETE CASCADE, + FOREIGN KEY (author_id) REFERENCES users(id) ON DELETE RESTRICT, + INDEX idx_task (task_id), + INDEX idx_author (author_id) +) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci; + +SELECT + u.id, + u.email, + u.first_name, + u.last_name, + COUNT(DISTINCT p.id) AS project_count, + COUNT(DISTINCT t.id) AS task_count, + SUM(CASE WHEN t.status = 'done' THEN 1 ELSE 0 END) AS completed_tasks, + AVG(t.actual_hours) AS avg_actual_hours +FROM users u +LEFT JOIN project_members pm ON u.id = pm.user_id +LEFT JOIN projects p ON pm.project_id = p.id +LEFT JOIN tasks t ON p.id = t.project_id AND t.assignee_id = u.id +WHERE u.is_active = TRUE + AND u.created_at >= '2023-01-01' +GROUP BY u.id, u.email, u.first_name, u.last_name +HAVING COUNT(DISTINCT p.id) > 0 +ORDER BY project_count DESC, completed_tasks DESC +LIMIT 50; + +SELECT + u.email, + COUNT(t.id) AS assigned_tasks, + SUM(CASE WHEN t.status = 'done' THEN 1 ELSE 0 END) AS completed, + ROUND(100.0 * SUM(CASE WHEN t.status = 'done' THEN 1 ELSE 0 END) / NULLIF(COUNT(t.id), 0), 2) AS completion_rate, + SUM(t.actual_hours) AS total_hours_logged +FROM users u +JOIN tasks t ON u.id = t.assignee_id +JOIN projects p ON t.project_id = p.id +WHERE p.status = 'active' + AND t.status IN ('in_progress', 'in_review', 'done') + AND t.actual_hours IS NOT NULL +GROUP BY u.id, u.email +HAVING COUNT(t.id) >= 5 +ORDER BY completion_rate ASC +LIMIT 20; + +INSERT INTO users (email, password_hash, first_name, last_name) +VALUES + ('alice.johnson@techcorp.com', '$2b$12$hashedpassword1', 'Alice', 'Johnson'), + ('bob.smith@techcorp.com', '$2b$12$hashedpassword2', 'Bob', 'Smith'), + ('carol.williams@techcorp.com', '$2b$12$hashedpassword3', 'Carol', 'Williams'); + +INSERT INTO projects (name, description, owner_id, status, start_date, deadline, budget) +VALUES + ('API Gateway Refactor', 'Migrate legacy API gateway to Kong', 1, 'active', '2024-01-15', '2024-06-30', 150000.00), + ('Mobile App Redesign', 'Redesign iOS/Android apps with new design system', 2, 'planning', '2024-03-01', '2024-09-30', 250000.00); + +def get_user_projects(user_id: int, status: Optional[str] = None) -> List[Project]: + """Retrieve all projects for a user with optional status filter.""" + query = """ + SELECT p.* FROM projects p + JOIN project_members pm ON p.id = pm.project_id + WHERE pm.user_id = %s + """ + params = [user_id] + if status: + query += " AND p.status = %s" + params.append(status) + query += " ORDER BY p.updated_at DESC" + return db.execute(query, params).fetchall() \ No newline at end of file