get int input for a
get int input for b
get string input for operator
if a is not int or b is not int throw exception and print error
if operator is not * / // or % throw exception and print error
if operator is * do multiplication of a and b and make answer c
else if operator is / do division of a and b and make answer c
else if operator is // do floor division of a and b and make answer c
else if operator is % do floor modulo of a and b and make answer c
print c
Blood Alcohol Level is the other evidence for more severe penalties.
Answer:
Here is the Python program:
d = {5:3, 4:1, 12:2}
val_of_max = d[max(d.keys())]
print(val_of_max)
Explanation:
The program works as follows:
So we have a dictionary named d which is not empty and has the following key-value pairs:
5:3
4:1
12:2
where 5 , 4 and 12 are the keys and 3, 1 and 2 are the values
As we can see that the largest key is 12. So in order to find the largest key we use max() method which returns the largest key in the dictionary and we also use keys() which returns a view object i.e. the key of dictionary. So
max(d.keys()) as a whole gives 12
Next d[max(d.keys())] returns the corresponding value of this largest key. The corresponding value is 2 so this entire statement gives 2.
val_of_max = d[max(d.keys())] Thus this complete statement gives 2 and assigns to the val_of_max variable.
Next print(val_of_max) displays 2 on the output screen.
The screenshot of program along with its output is attached.
Answer:
im pretty sure this is common sense
Explanation:
Answer:
d)
Explanation:
The main limitation of simulations is that running a simulation requires a large number of observations to be collected before it can be used to explore a problem. In a real life situation there are thousands of variables to take into consideration which can drastically affect the way that the situation unfolds at any given time. Therefore, in order to replicate/simulate such a scenario all of these variables need to be taken into consideration. This data can take a large amount of time to observe and collect in order to implement into the simulation so that it provides an accurate depiction of the problem.