Because floating-point numbers are imprecise, it is common to compute data values of type float that are very close but not exactly equal to the value 0.0. a) In Python, Write a function countNZdata that counts number of elements in a list of type float whose absolute value is less than or equal to a positive tolerance parameter. The function takes the list as its first parameter; the second parameter is the positive float value that is the tolerance. Function should return the number of data values that meet this criterion. For example, for the given list: [2.19, -0.04, 1.66, 0.05, 4.70, -6.53, -0.11, -1.07, 1.94, -2.23] and a tolerance = 0.1, the function should return the value 3. b) Demonstrate that the function works by inputting different example values.

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
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Because floating-point numbers are imprecise, it is common to compute data values of type float that are very close but not exactly equal to the value 0.0.

a) In Python, Write a function countNZdata that counts number of elements in a list of type float whose absolute value is less than or equal to a positive tolerance parameter. The function takes the list as its first parameter; the second parameter is the positive float value that is the tolerance. Function should return the number of data values that meet this criterion.

For example, for the given list:

[2.19, -0.04, 1.66, 0.05, 4.70, -6.53, -0.11, -1.07, 1.94, -2.23]

and a tolerance = 0.1, the function should return the value 3.

b) Demonstrate that the function works by inputting different example values.

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