Create a truth table for the compound statement q^r-> [(rVP) A ( 9 VP)]
Q: X 0 1 yz 00 1 1 4 01 1 0 11 1 0 10 1 0
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![Create a truth table for the compound statement
q ^r-> [ (rVP) A ( 9 VP) ]](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F7d4fd4d4-77c7-4e93-950b-25099f54e660%2F9ef810e6-732e-4a07-bda4-de934ca3f4fb%2Fc6dhwc8_processed.jpeg&w=3840&q=75)
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- Given: (3,6) int numi, num2, newNum; double x, y; Which of the following assignments are valid? If an assignment is not valid, state the reason. a. numl = 35; b.newNum = numl - num2; c.numl = 5;num2 = 2 + numl;numl = num2 I 3; d. numl * num2 = newNum; e.x = 12 * numl - 15.3; f.numl * 2 = newNum + num2; g. x / y = x * y; h. num2 = numl % 2.0; i.newNum = static_cast<int> (x) % 5; j.x = x + y - 5; k. newNum = numl + static_cast<int> (4.6/2);Create a nfa for L = {w ∈ {a, b}∗|w begins and ends with different letters.}Make code complete from Psedo code.
- 12 - fx =sort(StudentList!A2:F38,2, true) A C 1 Student ID Surname Forename 10009lAkins Lewis 10026 Allen Mary Explain the formula highlighted above and each of the parts in the formular. In other words, briefly describe in your own words what it does and what the result is. For this question, describe the following parameters in the formula above: - StudentList!A2:F38 is the range of cells (A2:F38) pulled from the sheet labeled Studentlist! - ,2 is - ,true isTails Function Purpose: Produce a new column-based ( e.g. dict[str, list[str]] ) table with only the first N (a parameter) rows of data for each column. * Function name: Tails Parameters: 1. dict[str, list[str]] - a column-based table of data that_will not be mutated_ 2. int - The number of "rows" to include in the resulting list * Return type: dict[str, list[str]] Implementation strategy: 1. Establish an empty dictionary that will serve as the returned dictionary this function is building up. 2. Loop through each of the columns in the first row of the table given as a parameter. 1. Inside of the loop, establish an empty list to store each of the first N values in the column. 2. Loop through the first N items of the table's column, 1. Appending each item to the previously list established in step 2.1. 3. Assign the produced list of column values to the dictionary established in step 1. 3. Return the dictionary.Regular expression to NFA to DFA conversion: Describes the process of taking a unique regular expression, converting that regular expression to an NFA, then converting the NFA into a DFA. Your regular expression must have at minimum two union, two concatenation, and two Kleene star operations. As followed, concatenations of single charaters can be condensed. Your regular expression cannot be a solved problem from any book. You should describe the regular expression with both processes to convert the regular expression to an NFA and the conversion of that NFA into a DFA.
- Need #3 onlydef is_valid_flight_sequence (iata_list: List[str], routes: RouteDict) -> bool: """Return whether there are flights from iata_list[i] to iata_list[i+1] for all valid values of i. IATA entries may not appear anywhere in routes. >>> is_valid_flight_sequence True >>> is_valid_flight_sequence False # Complete the function body (['AA3', 'AA1', 'AA2'], TEST_ROUTES DICT_FOUR_CITIES) (['AA3', 'AA1', 'AA2', 'AA1', 'AA2'], TEST_ROUTES_DICT_FOUR_CITIES)get_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.
- PYTHON prov_records_per_date() takes a 2-D list (similar to the database) and an integer representing the province ID. This function returns another 2-D list, where each element of this list stores information in the following format. [ [day1, total number of patients (both icu and non-icu) in this provice reported in day1], [day2, total number of patients (both icu and non-icu) in this provice reported in day2], ... ] >>> results = prov_records_per_date(database, 35) >>> display_dict(result) >>> display_list(result) ['2022-01-31', 239] ['2022-02-05', 393] >>> results = prov_records_per_date(database, 10) >>> display_dict(result)['2022-02-02', 225] >>> results = prov_records_per_date(database, 81) >>> display_dict(result)No data in listAddition [351] with [1 3 5; 5 7 1] = [4 8 6;5 7 1] False TrueDefine the function lake_to_tli3_dict(readings) that takes a list of (lake_name, chla, tn, tp) tuples and returns a dict mapping lake names to trophic level index values. That is, the keys are lake names and the values will be TLI3 values. Notes: You will need to have import math as your first line of code. You must include and use/call the trophic_level_index function that you wrote in Question 1. trophic_level_index must still work as specified in Question 1. Lakes should be added to the dictionary in the same order as they appear in the readings list. If a lake appears in the readings list more than once, then the TLI for the last occurrence in the readings list should be the one that appears in the result. (This should happen naturally, since the lake name can only occur in the dictionary once.) For example: Test Result names_cnp_1 = [('Lake Brunner', 0.8, 218.0, 6.0), ('Lake Carrot', 5.1, 505.0, 18.5) ] tli3_dict = lake_to_tli3_dict(names_cnp_1 ) print(tli3_dict)…