Code should be in Python. Given the code that reads a list of integers, complete the number_guess() function, which should choose a random number between 1 and 100 by calling random.randint() and then output if the guessed number is too low, too high, or correct. Import the random module to use the random.seed() and random.randint() functions. random.seed(seed_value) seeds the random number generator using the given seed_value. random.randint(a, b) returns a random number between a and b (inclusive). For testing purposes, use the seed value 900, which will cause the computer to choose the same random number every time the program runs. Ex: If the input is: 32 45 48 80 the output is: 32 is too low. Random number was 80. 45 is too high. Random number was 30. 48 is correct! 80 is too low. Random number was 97.

C++ for Engineers and Scientists
4th Edition
ISBN:9781133187844
Author:Bronson, Gary J.
Publisher:Bronson, Gary J.
Chapter6: Modularity Using Functions
Section6.4: A Case Study: Rectangular To Polar Coordinate Conversion
Problem 9E: (Numerical) Write a program that tests the effectiveness of the rand() library function. Start by...
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Code should be in Python.

Given the code that reads a list of integers, complete the number_guess() function, which should choose a random number between 1 and 100 by calling random.randint() and then output if the guessed number is too low, too high, or correct.

Import the random module to use the random.seed() and random.randint() functions.

  • random.seed(seed_value) seeds the random number generator using the given seed_value.
  • random.randint(ab) returns a random number between a and b (inclusive).

For testing purposes, use the seed value 900, which will cause the computer to choose the same random number every time the program runs.

Ex: If the input is:

32 45 48 80

the output is:

32 is too low. Random number was 80.

45 is too high. Random number was 30.

48 is correct!

80 is too low. Random number was 97.

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