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48 Commits
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@ -1,7 +0,0 @@
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def compare(a: str) -> bool:
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for i in range(len(a)):
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if(a[i].isdigit() == False):
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if a[i] == "<":
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return int(a[:i]) < int(a[i + 1:])
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elif (a[i] == ">"):
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return int(a[:i]) > int(a[i + 1:])
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@ -1,4 +0,0 @@
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import pandas as pd
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def count_sum(df: pd.DataFrame) -> pd.DataFrame:
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return df.groupby('Товар')['Количество'].sum().reset_index().set_index('Товар')
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@ -1,12 +0,0 @@
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from datetime import datetime, timedelta
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def get_last_friday(a: str) -> str:
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date = datetime.strptime(a, "%m/%Y").date()
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next_month = date.replace(day=28) + timedelta(days=7)
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last_day = next_month - timedelta(days=next_month.day)
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# Идем назад до пятницы
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while last_day.weekday() != 4:
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last_day -= timedelta(days=1)
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return last_day.strftime("%d.%m.%Y")
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9445
mathmodenjoyer.jmx
Normal file
9445
mathmodenjoyer.jmx
Normal file
File diff suppressed because it is too large
Load Diff
@ -1,8 +0,0 @@
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task1=SELECT COUNT(*) AS total_boarding_passes FROM boarding_passes;
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task2=SELECT COUNT(DISTINCT ticket_no) AS unique_passengers_count FROM boarding_passes WHERE seat_no = '17E';
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task3=SELECT MAX(amount) AS most_expensive_ticket, MIN(amount) AS cheapest_ticket, AVG(amount) AS average_ticket_price FROM ticket_flights;
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task4=SELECT passenger_name FROM tickets WHERE passenger_id LIKE '8099%43' AND book_ref LIKE 'B%';
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task5=SELECT COUNT(*) AS flights_count FROM flights WHERE aircraft_code IN (SELECT aircraft_code FROM aircrafts_data WHERE model LIKE '%Cessna 208 Caravan%');
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task6=SELECT ad.airport_name, ad.city, f.flight_id, f.flight_no FROM flights f JOIN airports_data ad ON f.departure_airport = ad.airport_code WHERE f.flight_no = 'PG0305' AND f.scheduled_departure = '2017-09-09 09:10:00+04';
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task7=SELECT a.model FROM flights f JOIN aircrafts_data a ON f.aircraft_code = a.aircraft_code WHERE f.flight_no = 'PG0210' LIMIT 1;
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task8=SELECT passenger_name AS FI FROM tickets WHERE passenger_name ILIKE '% anna %' OR passenger_name ILIKE 'anna %' OR passenger_name ILIKE '% anna' UNION SELECT CONCAT(first_name, ' ', last_name) AS FI FROM employees WHERE first_name ILIKE '%anna%' OR last_name ILIKE '%anna%';
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