– A single number that represents the lowest delta between two adjacent pairs of points (which is equivalent to, for example, the number on the left of the line). For example, if a line is drawn between two two-point numbers, the delta between the two numbers equals 0.0.

– A value in the range 0 – 3, where any value from the range is fine. For example, 2.0 is in the value range 0-3.

– The smallest negative integer greater than 0 (e.g. -2.0 or -3.0 ).

– The smallest positive integer greater than or equal to 0 (e.g. 1.0 or 1.1 ).

– The smallest two-point number (e.g. 3.0 or 3.1 ).

This is what is known as the decimal arithmetic standard, defined in RFC 2460 (the IEEE 754 standard on mathematics).

The binary standard is represented by 10 for 32-bit and 6 for 16-bit, and 4 for 12-bit.

Since the numbers for most of the common arithmetic operations are binary, the decimal expansion is just a shorthand for that.

Example

Given the above set of numbers:

3.14159265359

3.2458142844

3.746237053125

5.615390244569

If we were to use decimal expansion of the first two, the result would be 3.2159265359 .

If we were to use decimal expansion of the third, the result would be 6.45679471428 , which is correct!

In order for this to be possible, the standard has used a range of 0 to 1 for 0 to 3.

– Example 1.10: Use 0.3 for 32-bit integers and 1 for 16-bit numbers

import numpy as np

a = np :: square ( 2 )

b = np :: square ( 4 )

c = ( np :: square ( 3 ), np :: square ( 10 ), 20 ), 0.3

d = ( np :: square ( 8 ), 2 , 10 , 0.3 )

e = ( np :: square ( 16 ), 10 , ( np :: square ( 4 , 4 ), 20 ), ( np :: square ( 2 , 2 ), 0 ))

f = ( np :: square (

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