Use C++ to write this codeWrite a function called tuneSimilarity that computes the similarity score as described above for two tunes of equal length.Function Specifications:Name: tuneSimilarity()Parameters (Your function should accept these parameters IN THIS ORDER):tune1 (string): The first input tunetune2 (string): The second input tuneReturn Value: The similarity score (double)The parameters should be two strings of equal length. If they are not equal in length, your function should return 0.The function should not print anything.You may assume that the input to tuneSimilarity will always be valid SPN, i.e. you do not have to account for arbitrary strings.--- Examples ---Sample function callExpected return valuetuneSimilarity("G4E5D4", "G4F4D5")0.666667tuneSimilarity("A0B0C0D0", "D1C1B1A1")-4tuneSimilarity("E5E5G5A6G5D5", "E5G5A6G5D5D5")0.333333tuneSimilarity("D5G2", "F7D1E4G4")0An example test case for the first sample function call would be: assert(doubles_equal(tuneSimilarity("G4E5D4", "G4F4D5"), 0.666667));Your file should be named tuneSimilarity.cpp and should also include a main function that tests your tuneSimilarity function. Once you have finished developing your solution in VSCode you should head over to the CodeRunner on Canvas and paste only your function tuneSimilarity into the answer box for question 4. You do not need to paste your main function into Coderunner. A main function has already been provided for you. You will need to include your main, tuneSimilarity and any other helper functions in the tuneSimilarity.cpp file that you submit to Canvas. Write a function called tuneSimilarity that computes the similarity score as described above for two tunes of equal length.Function Specifications:• Name: tuneSimilarity()• Parameters (Your function should accept these parameters IN THIS ORDER):o tune1 (string): The first input tuneo tune2 (string): The second input tune• Return Value: The similarity score (double)• The parameters should be two strings of equal length. If they are not equal in length, your function should return 0.• The function should not print anything.• You may assume that the input to tuneSimilarity will always be valid SPN, i.e. you do not have to account for arbitrary strings.ExamplesSample function calltuneSimilarity ("G4E5D4", "G4F4D5")tuneSimilarity ("AOBOCODO", "D1C1B1A1")tuneSimilarity ("E5E5G5A6G5D5", "E5G5A6G5D5D5")tuneSimilarity("D5G2", "F7D1E4G4")Expected return value0.666667-40.3333330An example test case for the first sample function call would be: assert (doubles_equal(tuneSimilarity ("G4E5D4", "G4F4D5"),0.666667));Your file should be named tuneSimilarity.cpp and should also include a main function that tests your tuneSimilarity function. Once you havefinished developing your solution in VSCode you should head over to the CodeRunner on Canvas and paste only your functiontuneSimilarity into the answer box for question 4. You do not need to paste your main function into Coderunner. A main function hasalready been provided for you. You will need to include your main, tuneSimilarity and any other helper functions in thetuneSimilarity.cpp file that you submit to Canvas.

We need to write a C++ code for the given scenario.

Write a function called tuneSimilarity that computes the similarity score as described above for two tunes of equal length. Function Specifications: • Name: tuneSimilarity() • Parameters (Your function should accept these parameters IN THIS ORDER): o tune1 (string): The first input tune o tune2 (string): The second input tune • Return Value: The similarity score (double) • The parameters should be two strings of equal length. If they are not equal in length, your function should return 0. • The function should not print anything. • You may assume that the input to tuneSimilarity will always be valid SPN, i.e. you do not have to account for arbitrary strings. --- Examples --- Sample function call tuneSimilarity ("G4E5D4", "G4F4D5") tuneSimilarity ("A0B0C0D0", "D1C1B1A1") tuneSimilarity ("E5E5G5A6G5D5", "E5G5A6G5D5D5") tuneSimilarity ("D5G2", "F7D1E4G4") Expected return value 0.666667 -4 0.333333 0 An example test case for the first sample function call would be: assert (doubles_equal(tuneSimilarity ("G4E5D4", "G4F4D5"), 0.666667)); Your file should be named tuneSimilarity.cpp and should also include a main function that tests your tuneSimilarity function. Once you have finished developing your solution in VSCode you should head over to the CodeRunner on Canvas and paste only your function tuneSimilarity into the answer box for question 4. You do not need to paste your main function into Coderunner. A main function has already been provided for you. You will need to include your main, tuneSimilarity and any other helper functions in the tuneSimilarity.cpp file that you submit to Canvas.

C++ for Engineers and Scientists

4th Edition

ISBN:9781133187844

Author:Bronson, Gary J.

Publisher:Bronson, Gary J.

Chapter6: Modularity Using Functions

Section: Chapter Questions

Problem 6PP

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Question

Use C++ to write this code

Write a function called tuneSimilarity that computes the similarity score as described above for two tunes of equal length.

Function Specifications:

Name: tuneSimilarity()
Parameters (Your function should accept these parameters IN THIS ORDER):
- tune1 (string): The first input tune
- tune2 (string): The second input tune
Return Value: The similarity score (double)
The parameters should be two strings of equal length. If they are not equal in length, your function should return 0.
The function should not print anything.
You may assume that the input to tuneSimilarity will always be valid SPN, i.e. you do not have to account for arbitrary strings.

--- Examples ---

Sample function call	Expected return value
tuneSimilarity("G4E5D4", "G4F4D5")	0.666667
tuneSimilarity("A0B0C0D0", "D1C1B1A1")	-4
tuneSimilarity("E5E5G5A6G5D5", "E5G5A6G5D5D5")	0.333333
tuneSimilarity("D5G2", "F7D1E4G4")	0

An example test case for the first sample function call would be: assert(doubles_equal(tuneSimilarity("G4E5D4", "G4F4D5"), 0.666667));

Your file should be named tuneSimilarity.cpp and should also include a main function that tests your tuneSimilarity function. Once you have finished developing your solution in VSCode you should head over to the CodeRunner on Canvas and paste only your function tuneSimilarity into the answer box for question 4. You do not need to paste your main function into Coderunner. A main function has already been provided for you. You will need to include your main, tuneSimilarity and any other helper functions in the tuneSimilarity.cpp file that you submit to Canvas.

Write a function called tuneSimilarity that computes the similarity score as described above for two tunes of equal length.
Function Specifications:
• Name: tuneSimilarity()
• Parameters (Your function should accept these parameters IN THIS ORDER):
o tune1 (string): The first input tune
o tune2 (string): The second input tune
• Return Value: The similarity score (double)
• The parameters should be two strings of equal length. If they are not equal in length, your function should return 0.
• The function should not print anything.
• You may assume that the input to tuneSimilarity will always be valid SPN, i.e. you do not have to account for arbitrary strings.
Examples
Sample function call
tuneSimilarity ("G4E5D4", "G4F4D5")
tuneSimilarity ("AOBOCODO", "D1C1B1A1")
tuneSimilarity ("E5E5G5A6G5D5", "E5G5A6G5D5D5")
tuneSimilarity("D5G2", "F7D1E4G4")
Expected return value
0.666667
-4
0.333333
0
An example test case for the first sample function call would be: assert (doubles_equal(tuneSimilarity ("G4E5D4", "G4F4D5"),
0.666667));
Your file should be named tuneSimilarity.cpp and should also include a main function that tests your tuneSimilarity function. Once you have
finished developing your solution in VSCode you should head over to the CodeRunner on Canvas and paste only your function
tuneSimilarity into the answer box for question 4. You do not need to paste your main function into Coderunner. A main function has
already been provided for you. You will need to include your main, tuneSimilarity and any other helper functions in the
tuneSimilarity.cpp file that you submit to Canvas.

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