Indeed, Python provides a more efficient way to handle these conversions using the struct module's pack and unpack functions. Here's how you can accomplish the task at hand:
import struct
# Convert the hexadecimal string to a 32-bit number
hex_string = '08d16113'
number = struct.unpack('>I', bytes.fromhex(hex_string))[0]
# Extract the first 20 bits and convert to a decimal number
first_number = (number >> 12) & 0xFFFFF
# Extract the last 12 bits and convert to a decimal number
second_number = number & 0xFFF
print(first_number) # Output: 36118
print(second_number) # Output: 275
Let's break down the steps:
The struct.unpack('>I', bytes.fromhex(hex_string)) line converts the hexadecimal string '08d16113' to a 32-bit unsigned integer using the unpack function with the format '>I'. The '>I' format specifies a big-endian unsigned integer.
Once we have the 32-bit number, we use bitwise operations to extract the desired bits. The expression (number >> 12) & 0xFFFFF shifts the bits 12 places to the right, effectively discarding the last 12 bits, and then performs a bitwise AND operation with 0xFFFFF (which represents 20 bits set to 1) to keep only the first 20 bits.
The expression number & 0xFFF performs a bitwise AND operation with 0xFFF (which represents 12 bits set to 1) to keep only the last 12 bits.
Finally, we print the first_number and second_number, which correspond to the decimal values derived from the first 20 bits and the last 12 bits, respectively.
Using the struct module allows for efficient conversion and manipulation of binary data, making the process simpler and more readable.