How to code this in python?

Part One Keyword Arguments and Default Values

Write an invoice function. The function will generate a simple invoice and will have two required arguments and two keyword arguments. The two required arguments are unitPrice and quantity. The first keyword argument is shipping, and it has a default value of 10. The second keyword argument is handling, and it has a default value of 5.

Test it twice from main: First test: unitPrice 20, quantity 4, and shipping 8 (handling is not specified). Second test: unitPrice 15, quantity 3, and handling 15 (shipping is not specified). Don't worry about making the formatting pretty.

Part Two args (Variable-Length Arguments)

Write a printGroupMembers function. The function prints a list of students who are working together on a group project, as well as the group name. The function has one required argument, the group name, and one variable-length argument that contains the student names.

Test it twice from main: First test: Call as follows: printGroupMembers("Group A", "Li", "Audry", "Jia") Second test: Create a list as follows: groupB = ["Group B", "Sasha", "Migel", "Tanya", "Hiroto"] and then call the function using this list.

Part Three kwargs (Variable-Length Keyword Arguments)

For this problem, imagine that there is a complex piece of equipment, perhaps a car or a spacecraft, and that all of its various subsystems periodically send out status messages to be read and evaluated by an overseer system. Each message contains just a small amount of data - perhaps only one or two keywords out of the hundreds of things that overseer system must monitor. However, we will restrict ourselves to only three things: temperature, CO2level, and miscError.

Write an overseerSystem function that has a kwargs argument.

Within the function, see if the keyword temperature exists in kwargs. If it does, and the temperature is greater than 500, print a warning with the temperature. Also see if the keyword CO2level exists in kwargs. If it does, and the CO2level is greater than .15, print a warning with the CO2level. Lastly, see if the keyword miscError exists in kwargs. If it does, print a warning with the miscError number.

Test from main by creating five messages and calling the overseerSystem function with each message.

Message1 is temperature:550 Message2 is temperature:475 Message3 is temperature:450, miscError:404 Message4 is CO2level:.17 Message5 is CO2level:.2, miscError:418

Part Four Working with a list of functions

We will be building a very basic baseball simulation, one that simulates one half inning of play. Note: you don't have to know the rules of baseball in order to complete this problem - everything you need to know will be explained here.

In our simulation, there will be five possible outcomes - out, single, double, triple, home run, each with it's own probability of occuring.

Each of these outcomes will be represented by a short function that you will need to write. Each function does nothing but print the outcome and return a numeric value. Function out returns 0, single returns 1, double rteturns 2, triple returns 3, and homerun returns 4. For example, here's the out function:

def out(): print("Out") return 0 

Our simulation will generate outcomes within a loop until three outs have occured, at which time the simulation is complete.

Outcomes will be randomly generated one at a time with the help of Pythons random.choices() method (see this explanation and/or the Python documentation). The sequence parameter used by the choices method is a list of the outcome functions. Parameter weights is a list of probabilities, as given below. The k parameter value will be one, as we only want one outcome at a time. Here's some starter code:

import random outcomes = list of functions - ***you need to write this - list should be in this order: out, single, double, triple, homerun*** probabilities = [70, 18, 5, 1, 6] #chance of an out is 70%, single is 18% and so on. #Start loop here - ***you need to write this*** outcome = random.choices(outcomes, weights = probabilities, k = 1) ... 

Note that outcome is a list containing a single element.

OPTIONAL: Calculate how many runs have been scored (if any) based on the return values from the outcome functions. A single advances all runners one base, a double two bases, and so on.

Example output:

Cost (unitPrice x quantity) = 80 Shipping = 8 Handling = 5 Total = 93 Cost (unitPrice x quantity) = 45 Shipping = 10 Handling = 15 Total = 70 Members of Group A Li Audry Jia Members of Group B Sasha Migel Tanya Hiroto Warning: temperature is 550 Misc error #404 Warning: CO2level is 0.17 Warning: CO2level is 0.2 Misc error #418 Out Out Double Single Out