Fill out the blanks in the following figure to make it a DFA that recognizes the expression ab + bb*a.
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Fill out the blanks in the following figure to make it a DFA that recognizes the expression ab + bb*a.
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- 3. Randomly generate a number in range [1, 12]. Map this number to a season: if the number is 3, 4, or 5, map it to “Spring", if the number is 6, 7, or 8, map it to "Summer", if the number is 9, 10, or 11, map it to "Fall", and if the number 12, 1, or 2, map it to "Winter". Display season name15- What will be result of the given code:echo mt_rand(6,10); a. any random number between 1 and 4 b. There will be an error c. any random number between 4 and 10 d. any random number between 6 and 10Correct will get upvote, else downvote.
- What does range return? for x in range(5) the sequence of numbers: 1,2,3, 4, 5 the sequence of numbers: 012345 the sequence of numbers: 1234, the sequence of numbers: 01234# Create Custom Transformer Create a custom transformer, just as we did in the lecture video entitled "Custom Transformers", that performs two computations: 1. Adds an attribute to the end of the numerical data (i.e. new last column) that is equal to $\frac{x_1^3}{x_5}$ for each observation. In other words, for each instance, you will cube the $x_1$ column and then divide by the $x_5$ column. 2. Drops the entire $x_4$ feature column if the passed function argument `drop_x4` is `True` and doesn't drop the column if `drop_x4` is `False`. (See further instructions below.) You must name your custom transformer class `Assignment4Transformer`. Your class should include an input parameter called `drop_x4` with a default value of `True` that deletes the $x_4$ feature column when its value is `True`, but preserves the $x_4$ feature column when you pass a value of `False`. This transformer will be used in a pipeline. In that pipeline, an imputer will be run *before* this transformer. Keep…Question: Narcissistic numbers Prompt the user for an upper and a lower bound.(Note: we will test for at least 100-50000 range) Display all the narcisstic numbers that exist between the lower and upper bounds, both inclusive. https://en.wikipedia.org/wiki/Narcissistic_number This link describes what narcisstic numbers are. A narcisstic number of order 4 is a 4-digit number, such that the number xyzd = x^4 + y^4 + z^4 + d^4 A narcisstic number of order 3 is a 3-digit number, such that the number xyz = x^3 + y^3 + z^3 e.g. 153 is a narcissistic number of order 3 as 1^3 + 5^3 + 3^3 is equal to 153 where the ^ operator indicates raised to the power of, e.g. x^3 is x raised to the power of 3. In Python, x**3 is used to calculate x raised to the power of 3.
- Assignment4B: Diamonds in the sky. In our earliest labs, we asked you to print a diamond pattern to the screen using predefined print statements. Now that we know how to use loops, we can make more dynamic and customizable patterns. For this assignment, we will prompt the user to enter a maximum width for the diamond. If they enter a number less than 3, we'll prompt them to choose a correct width. If they enter an even number (greater than 3), we will add 1 to it and let the user know the final diamond size. Then we will generate and print out the diamond using * and '' symbols. Hints: Each line of the "diamond" is made up of two parts – the asterisks in the center and the spaces to the left of it. The amount of "left space" decreases as we go towards the middle diamond, then increases afterwards as we go towards the bottom. Could we use multiple loops (or even nested loops) to model this behavior? Also, note that the number of asterisks increases (and later decreases) by two on each…text file 80 1 2 3 100 100 100 1001 0 2 100 3 4 100 1002 2 0 4 4 100 5 1003 100 4 0 100 100 4 100100 3 4 100 0 3 3 3100 4 100 100 3 0 100 1100 100 5 4 3 100 0 2100 100 100 100 3 1 2 0 My code below. I am getting an error when trying to create my adjacency matrix. i dont know what i am doing wrong def readMatrix(inputfilename): ''' Returns a two-dimentional array created from the data in the given file. Pre: 'inputfilename' is the name of a text file whose first row contains the number of vertices in a graph and whose subsequent rows contain the rows of the adjacency matrix of the graph. ''' # Open the file f = open(inputfilename, 'r') # Read the number of vertices from the first line of the file n = int(f.readline().strip()) # Read the rest of the file stripping off the newline characters and splitting it into # a list of intger values rest = f.read().strip().split() # Create the adjacency matrix adjMat = []…Q2: Rewrite the following phrases correctly.