Database System Concepts
7th Edition
ISBN: 9780078022159
Author: Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher: McGraw-Hill Education
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- def return_bike(station_id: int, stations: List["Station"]) -> bool: """Update the available bike count and the docks available count for station in stations with id station_id as if a single bike was added, making an additional dock unavailable. Return True if and only if the return was successful. Precondition: station_id will appear in stations. >>> available_dock_station 43.681991, -79.329455, 15, 4, 10] >>> station_id >> original_bikes_available >> original_docks_available >> return_bike(station_id, [available_dock_station]) [7090, 'Danforth Ave / Lamb Ave', \ available_dock_station[ID] available_dock_station[BIKES_AVAILABLE] available_dock_station[DOCKS_AVAILABLE] True >> original_bikes_available + 1 available_dock_station[BIKES_AVAILABLE] == True >>> original_docks_available 1 available_dock_station[D0CKS_AVAILABLE] == True >>> no_dock_station 43.681991, -79.329455, 15, 15, 0] >>> station_id = no_dock_station[ID] >>> original_bikes_available = no_dock_station[BIKES_AVAILABLE] >>…arrow_forwardhello please i want SQL Statements (DDL & DML) full code based on this ERD diagram Patient patientiD PK Pharmacy BloodBank PAame Medicine pharmacylD PK bankID bloodType patientiD PK PAge treatmentiD 0.. PK treatmentID FK pHeathissue medName FK peloodType medPrice FK medPrice 0. Appointment appointmentiD Doctor DoctorClinic 1 appointmentiD FK PK doctoriD PK 0.appointmentDate 0. dName treamentiD FK medPrice doctoriD FK appointment_price FK patientiD FK FK appointmentStatus appoinment_pricearrow_forwardget_total_cases() takes the a 2D-list (similar to database) and an integer x from this set {0, 1, 2} as input parameters. Here, 0 represents Case_Reported_Date, 1 represents Age_Group and 2 represents Client_Gender (these are the fields on the header row, the integer value represents the index of each of these fields on that row). This function computes the total number of reported cases for each instance of x in the text file, and it stores this information in a dictionary in this form {an_instance_of_x : total_case}. Finally, it returns the dictionary and the total number of all reported cases saved in this dictionary.arrow_forward
- calculate_trip_time( iata_src: str, iata_dst: str, flight_walk: List[str], flights: Flight Dir float: def ) -> """ Return a float corresponding to the amount of time required to travel from the source airport to the destination airport to the destination airport, as outlined by the flight_walk. The start time of the trip should be considered zero. In other words, assuming we start the trip at 12:00am, this function should return the time it takes for the trip to finish, including all the waiting times before, and between the flights. If there is no path available, return -1.0 >>> calculate_trip_time("AA1", "AA2", ["AA1", "AA2"], TEST_FLIGHTS_DIR_FOUR_ 2.0 "AA7", ["AA7", "AA1"], TEST_FLIGHTS_DIR_FOUR_ "AA7", ["AA1", "AA7"], TEST_FLIGHTS_DIR_FOUR_ "AA1", ["AA1"], TEST_FLIGHTS_DIR_FOUR_CITIES) "AA2", ["AA4", "AA1", "AA2"], TEST_FLIGHTS_DI "AA3", ["AA1", "AA2", "AA3"], TEST_FLIGHTS_DI >>> calculate_trip_time("AA1", "AA4", ["AA1", "AA4"], TEST_FLIGHTS_DIR_FOUR_ 2.0 || || || >>>…arrow_forwardDefine the function number_in_trophic_class(tli3_values, classification) which takes a list of trophic level index values and a trophic classification, returning the number of lakes in that trophic class. For this version of the question you MUST use a list comprehension. You cannot use a for loop or while loop in your answer. Notes: You must include, and use/call your trophic_class function in your submission. Your tropic_class function must work in the same way it did for Question 2. You can assume that classification will always be valid, i.e. it will always be one of the states in the following list: ['Hypertrophic', 'Supertrophic', 'Eutrophic', 'Mesotrophic', 'Oligotrophic', 'Microtrophic', 'Ultra-microtrophic'] There are several ways to proceed, but you will probably find either the len function or the count method of the list class useful in conjunction with your list comprehension. For example: Test Result tli3_list_1 = [4.1061, 2.54561, 4.16276, 2.33801,…arrow_forwardFor questions below, use the following nested data structure to answer the questions. social_network = {'bb_dawg$': ('Barry Bowden', 18, ['New York City NY', 'Langley VA'], ['Elisa Yang', 'Andrew Yamins', 'James Butler']), 'yo_jimbo2000': ('James Butler', 21, ['Boston MA'], ['Barry Bowden']), 'e_yan2002': ('Elisa Yan', 20, ['College Park MD', 'Clarksburg MD'], ['Andrew Yamins', 'Barry Bowden']), 'bmansford1990': ('Benard Mansford', 31, ['San Jose CA', 'College Park MD'], []), 'derp1234': ('who cares', 99, ['College Park MD'], [])} Q1) Notice that a removed user ('Andrew Yamins') is still contained in the friends list of a few users. Write a few lines of code to remove him from those friends lists in the social network. Q2) Write a short Python function called find_user_lived that takes a string as input along with the social network data structure; the string should be a city and state and the function should…arrow_forward
- The following code will #define N_ROW 10 #define N_COL 10 int row; double sum=0, table[N_ROW][N_COL]; sum = 0; for (row = 0; row < N_ROW; row++) sum += table[row][1] sum the values of the column with an index of 1. sum the values of the row with an index of 1. sum the values of the row with an index of N_ROW. none of the others sum the values of the first column in the array.arrow_forward• Write a simple stored function that Takes a gender as an input ● Find the staff whose gender matches the input Return the results Write a simple stored procedure that Takes a gender as an input Find the staff whose gender matches the input • Print the resultsarrow_forwardThe management of your team wants to compare the team with the assigned team (the Bulls in 1996-1998). They claim that the skill level of your team in 2013-2015 is the same as the skill level of the Bulls in 1996 to 1998. In other words, the mean relative skill level of your team in 2013 to 2015 is the same as the mean relative skill level of the Bulls in 1996-1998. Test this claim using a 1% level of significance. Assume that the population standard deviation is unknown. Make the following edits to the code block below: 1. Replace ??DATAFRAME_ASSIGNED_TEAM?? with the name of assigned team's dataframe. See Step 1 for the name of assigned team's dataframe. 2. Replace ??DATAFRAME_YOUR_TEAM?? with the name of your team's dataframe. See Step 2 for the name of your team's dataframe. 3. Replace ??RELATIVE_SKILL?? with the name of the variable for relative skill. See the table included in Project Two instructions above to pick the variable name. Enclose this variable in single quotes. For…arrow_forward
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