Language: Python Suppose we have these iterable inputs and their corresponding A,B,C values: my_tuple_0_10 = (0, 1, 2, 3, 4, 5, 6, 7, 8, 9); A=0, B=1, C=0 or A=1, B=0, C=0 my_tuple_5_15 = (5, 6, 7, 8, 9, 10, 11, 12, 13, 14); A=1, B=1, C=1 Compute the following calculation on every element of the iterable given. y=Ax2+Bx+C Return an iterable with the computed values. [20 pts]
Language: Python Suppose we have these iterable inputs and their corresponding A,B,C values: my_tuple_0_10 = (0, 1, 2, 3, 4, 5, 6, 7, 8, 9); A=0, B=1, C=0 or A=1, B=0, C=0 my_tuple_5_15 = (5, 6, 7, 8, 9, 10, 11, 12, 13, 14); A=1, B=1, C=1 Compute the following calculation on every element of the iterable given. y=Ax2+Bx+C Return an iterable with the computed values. [20 pts]
Computer Networking: A Top-Down Approach (7th Edition)
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Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
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Language: Python
Suppose we have these iterable inputs and their corresponding A,B,C values:
my_tuple_0_10 = (0, 1, 2, 3, 4, 5, 6, 7, 8, 9); A=0, B=1, C=0 or A=1, B=0, C=0
my_tuple_5_15 = (5, 6, 7, 8, 9, 10, 11, 12, 13, 14); A=1, B=1, C=1
Compute the following calculation on every element of the iterable given.
y=Ax2+Bx+C
Return an iterable with the computed values. [20 pts]
-
How to fill in the following?
![▼ 2.2: Operations on a list
Suppose we have these iterable inputs and their corresponding A,B,C values:
my_tuple_0_10 = (0, 1, 2, 3, 4, 5, 6, 7, 8, 9); A=0, B=1, C=0 or A=1, B=0, C=0
my_tuple_5_15= (5, 6, 7, 8, 9, 10, 11, 12, 13, 14); A=1, B=1, C=1
Compute the following calculation on every element of the iterable given.
y = Az² +Ba+C
Return an iterable with the computed values. [20 pts]
► def-poly(input_list, A, B, C):
Side note: Python has great support for function arguments - you can make required, optional, and keyword-only arguments,
along with unlimited positional and unlimited keyword arguments. We'll just use the normal required arguments here, but maybe
optional would be better; you could set 0 as the default, for example.
[] assert tuple (poly(my_tuple_0_10, 0, 1, 0)) == my_tuple_0_10
assert tuple (poly(my_tuple_0_10, 1, 0, 0)) == (0,1,4,9,16,25,36,49,64,81)
assert tuple (poly(my_tuple_0_10, A=1, B=0, (=0)) == (0,1,4,9,16,25,36,49,64,81)
> Note: you are always welcome to add more tests - when I grade I will be running more tests than I put in the examples, as well. You might want to be careful in this
case if adding floating point tests; `==` is a little tricky with floating point values. We'll talk about numerical precision in a later lecture.
↑ ✓ © ✿ .⠀](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fdfbbf43f-b5c2-4d87-8106-243aab91da52%2F1207d02f-b40b-4e48-bf15-38e8ecb6960b%2F41u52v_processed.png&w=3840&q=75)
Transcribed Image Text:▼ 2.2: Operations on a list
Suppose we have these iterable inputs and their corresponding A,B,C values:
my_tuple_0_10 = (0, 1, 2, 3, 4, 5, 6, 7, 8, 9); A=0, B=1, C=0 or A=1, B=0, C=0
my_tuple_5_15= (5, 6, 7, 8, 9, 10, 11, 12, 13, 14); A=1, B=1, C=1
Compute the following calculation on every element of the iterable given.
y = Az² +Ba+C
Return an iterable with the computed values. [20 pts]
► def-poly(input_list, A, B, C):
Side note: Python has great support for function arguments - you can make required, optional, and keyword-only arguments,
along with unlimited positional and unlimited keyword arguments. We'll just use the normal required arguments here, but maybe
optional would be better; you could set 0 as the default, for example.
[] assert tuple (poly(my_tuple_0_10, 0, 1, 0)) == my_tuple_0_10
assert tuple (poly(my_tuple_0_10, 1, 0, 0)) == (0,1,4,9,16,25,36,49,64,81)
assert tuple (poly(my_tuple_0_10, A=1, B=0, (=0)) == (0,1,4,9,16,25,36,49,64,81)
> Note: you are always welcome to add more tests - when I grade I will be running more tests than I put in the examples, as well. You might want to be careful in this
case if adding floating point tests; `==` is a little tricky with floating point values. We'll talk about numerical precision in a later lecture.
↑ ✓ © ✿ .⠀
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