Two Complement's Python (with As Least Bits As Possible)
Solution 1:
Here's a way to do this using the .bit_length
method of Python 3 integers. It also uses the string .format
method to do the integer to binary string conversion. This function returns a string starting with '0' for non-negative numbers so that they can be distinguished from negative numbers.
deftwos_complement(n):
m = n + 1if n < 0else n
bitlen = 1 + m.bit_length()
mask = (1 << bitlen) - 1return'{0:0{1}b}'.format(n & mask, bitlen)
for i in (-10, -3, 0, 3, 10):
print('{:3}: {}'.format(i, twos_complement(i)))
print('- ' * 30)
for i inrange(-15, 16):
print(i, twos_complement(i))
output
-10: 10110
-3: 101
0: 0
3: 011
10: 01010
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -15 10001-14 10010-13 10011-12 10100-11 10101-10 10110-9 10111-8 1000-7 1001-6 1010-5 1011-4 100-3 101-2 10-1 1
0 0
1 01
2 010
3 011
4 0100
5 0101
6 0110
7 0111
8 01000
9 01001
10 01010
11 01011
12 01100
13 01101
14 01110
15 01111
How it works
Python uses a modified form of two's complement to represent integers. Python integers have no size limit, so negative integers behave as if they have an infinite number of leading 1 bits, as explained in the Python Wiki article on Bitwise Operators.
The int.bit_length
method tells us the minimum number of bits required to represent a number, we want one more bit than that so that all our non-negative numbers will start with 0 and all the negative numbers start with a 1. We need to modify that slightly to ensure that numbers of the form -2**n
will only get a single leading one bit, we do that by adding 1 to all the negative numbers when calculating the bit length.
To select the bits we want we need a bit mask of the appropriate length. If the bit length is 4, we want a mask of 1111 = 2**4 - 1
; we _could calculate it by using exponentiation, but it's more efficient to use bit shifting: (1 << bitlen) - 1
. We then do the bitwise AND operation n & mask
to select the bits we want. Fortunately, Python gives us a non-negative number when we perform such masking operations. :)
Finally we convert the resulting integer to a string using the .format
method. We use a nested format specification so we can dynamically specify the correct length of the output string. In
'{0:0{1}b}'.format(n & mask, bitlen)
the first 0 of the format spec says that we're converting the value of the 0 arg in the argument list (n & mask
), the :0{1}b
says to convert it to binary, padded with leading zeroes if necessary, using the value of the 1 arg in the argument list (bitlen
) as the total string length.
You can read about nested format specs in the Format String Syntax section of the docs:
A format_spec field can also include nested replacement fields within it. These nested replacement fields may contain a field name, conversion flag and format specification, but deeper nesting is not allowed. The replacement fields within the format_spec are substituted before the format_spec string is interpreted. This allows the formatting of a value to be dynamically specified.
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