of a number. Numbers can only have the values 0 or 1 .
2. logic_or () : — this function computes the bitwise boolean operation of "or" numbers. Numbers can only have the values 0 or 1 .
3. logic_xor () : — this function computes the bitwise boolean operation "xor" of a number. Numbers can only have the values 0 or 1 .
4. logic_invert () : — This function calculates the boolean operation to "invert" a number using numbers. Numbers can only have the values 0 or 1 .

Output:
The logical_and () of two numbers is: 1000 The logical_or () of two numbers is: 1110 The exclusive or of two numbers is: 110 The logical inversion of number is: 11111111111111111111110111
5. next_plus () : — This function returns the smallest number that can be represented, greater than the specified number.
6. next_plus () : — This function returns the largest number that can be represented, less than the specified number.

Output:
The original number is: 101.340000000000003410605131648480892181396484375 The smallest number larger than current number: 101.3400000000000034106051317 The largest number smaller t han current number: 101.3400000000000034106051316
7. next_toward () : — This function returns the number closest to the first argument in the direction of the second argument. If both numbers are equal, it returns the second signed number of the first number.
8. normalize () : — This function prints the number after erasing all rightmost zeros in the number.
# Python code for demonstrations
# next_toward () and normalize ()
# import "decimal" module for using decimal functions
import
decimal
# Initialize decimal
a
=
decimal.Decimal (
101.34
)
# Initialize decimal
b
=
decimal.Decimal (

101.34
)
# Initialize decimal
c
=
decimal.Decimal (

58.68
)
# Initialize decimal
d
=
decimal.Decimal (
14.010000000
)
# print number using next_toward ()
print
(
"The number closest to 1st number in direction of second number:"
)
print
(a.next_toward (c))
# print number using next_toward ()
# when equal
print
(
"The second number with sign of first number is:"
, end
=
"")
print
(b.next_toward (a))
# number printing after removing the rightmost zeros
print
(
"Number after erasing rightmost trailing zeroes:"
, end
=
" ")
print
(d.normalize ())
Output:
The number closest to 1st number in direction of second number: 101.3400000000000034106051316 The second number with sign of first number is: 101.3400000000000034106051316 Number after erasing rightmost trailing zeroes: 14.01
9. quantize () : — This function returns the 1st argument with the number of digits in the decimal part (exponent) truncated by the number of digits in the decimal part (exponent) of the 2nd argument.
10. same_quantum () : — this function returns 0 if both numbers have different rates, and 1 if both numbers have the same rates.

Exit:
The quantized first number is: 20.77 Both the numbers have same exponent
eleven. rotate () : — this function rotates the first argument by the amount specified in the second . If the sign of the second argument is positive, the rotation is to the left , otherwise the rotation is to the right . The sign of the first argument is unchanged.
12. shift () : — this function shifts the first argument by the amount specified in the second . If the sign of the second argument is positive, offset to the left, otherwise, offset to the right . The sign of the first argument is unchanged. Shifted digits are replaced with 0 .

Output:
The rotated value is: 6523435093940294242343345634 The shifted value is: 4350939402942423433456346500
13. remainder_near () : — Returns the value “ 1st — (n * 2nd) ", where n — it is the integer value closest to the 1st / 2nd result. If 2 integers are equally close, even one is selected.
14. scaleb () : — this function shifts the exponent of the 1st number by the value of the second argument .
# Python code to demonstrate how it works
# remainder_near () and scaleb ()
# import & quot; decimal & quot; module for using decimal functions
import
decimal
# Initialize decimal
a
=
decimal.Decimal (
23.765
)
# Initialize decimal
b
=
decimal.Decimal (
12
)
# Initialize decimal
c
=
decimal.Decimal (
8
)
# using remainder_near to calculate the value
print
(
"The computed value using remainder_near () is:"
, end
=
"")
print
(b.remainder_near (c))
# using scaleb () to shift the exponent
print
(
"The value after shifting exponent:"
, end
=
" ")
print
(a.scaleb (
2
))
Output:
The computed value using remainder_near () is: 4 The value after shifting exponent: 2376.500000000000056843418861
This article courtesy of Manjit Singh . If you are as Python.Engineering and would like to contribute, you can also write an article using contribute.python.engineering or by posting an article contribute @ python.engineering. See my article appearing on the Python.Engineering homepage and help other geeks.
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