PYTHON In order to parse data to start a simulation, users must enter data correctly. Suppose that the simulation requires 2 information from the user, which is called 'soil_key' and 'soil_data.' The user will enter 'soil_key' first, following with 'soil_data.' We need to check if the user enters the 'soil_data' data correctly. All elements in soil data ('soil_data') must be characters defined in the soil keys ('soil_key'). Both soil_key and soil_data are lists. Consider an example: INPUT: soil_key = ['C', 'Clay', ' B', 'Bedrock', ' V', 'Void'] soil_data1 = [ ['V', 'C', 'V'], ['C', 'V', ' '], ['B', 'M', 'B'] ] soil_data2 = [ ['B', 'C', 'V'], ['C', 'V', ' B'], ['B', 'C', 'B'] ] OUTPUT: soil_data1: check data again. Parsing failed! soil_data2: Parsing successfully. Write a python function that checks if the soil data is being entered correctly. Return True and print 'Parsing successfully' for correct data. Otherwise, return False and tells the user 'check data again. Parsing failed!'

# 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…

Part 3. arange Method Define a method in simpy named arange. Its purpose is to fill in the values attribute with range of values, like the range built-in function, but in terms of floats. It has three parameters in addition to self, the last being optional: 1. start - a float indicating the first value in the range 2. stop - a float that is not included in the produced range values 3. step - a float whose default value is 1.0 that indicates how to increase (or decrease) each subsequent item in the generated range. Unlike the built- in range function, this can be a fractional, float value. Step cannot be 0.0. Think carefully about what the value of step tells you about how to design your loop(s) for this method. Before any looping, you should assert step != 0.0 to be sure you avoid an infinite loop with an invalid argument. positive = Simpy([]) positive.arange(1.0, 5.0) print("Actual: ", positive, " - Expected: Simpy([1.0, 2.0, 3.0, 4.0])") fractional = Simpy([]) positive.arange (0.0,…

Please submit a flowchart of your program for your project below. Need a class which will contain: Student Name Student Id Student Grades (an array of 3 grades) A constructor that clears the student data (use -1 for unset grades) Get functions for items a, b, and c, average, and letter grade Set functions for items a, n, and c Note that the get and set functions for Student grades need an argument for the grade index. Need another class which will contain: An Array of Students (1 above) A count of number of students in use You need to create a menu interface that allows you to: Add new students Enter test grades Display all the students with their names, ids, test grades, average, and letter grade Exit the program Add comments and use proper indentation. Nice Features: I would like that system to accept a student with no grades, then later add one or more grades, and when all grades are entered, calculate the final average or grade. I would like the system to display the…