How to resolve the algorithm Variable-length quantity step by step in the Julia programming language

Published on 22 June 2024 08:30 PM

How to resolve the algorithm Variable-length quantity step by step in the Julia programming language

Table of Contents

Problem Statement

Implement some operations on variable-length quantities, at least including conversions from a normal number in the language to the binary representation of the variable-length quantity for that number, and vice versa. Any variants are acceptable.

With above operations,

Let's start with the solution:

Step by Step solution about How to resolve the algorithm Variable-length quantity step by step in the Julia programming language

The provided Julia code defines a custom type VLQ (Variable-Length Quantization) and overloads the UInt64 constructor to convert VLQ values to UInt64 integers. Variable-Length Quantization is a technique used to represent integers using a variable number of bytes, where the most significant bit of each byte indicates whether there are more bytes to follow.

Here's a detailed explanation of the code:

  1. mutable struct VLQ: This line defines a mutable struct named VLQ that has a single field quant, which is a vector of UInt8 (unsigned 8-bit integers). The mutable keyword allows the struct's fields to be modified after it has been created.

  2. function VLQ(n::T): This function takes an integer n of type T, where T is any integer type (Integer, Int, etc.). It converts n into a VLQ representation by computing its digits using base 128. The digits are stored in the quant field of the VLQ struct.

  3. @inbounds for i in 2:length(quant): This loop iterates over the elements of the quant vector, starting from the second element (index 2) and ending at the last element. It sets the most significant bit (bit 7) of each element to 1, indicating that there are more bytes to follow, except for the last element.

  4. reverse(quant): This line reverses the order of the elements in the quant vector. The VLQ representation is typically encoded in reverse order, so this step ensures that the resulting VLQ is in the correct format.

  5. import Base.UInt64: This line imports the UInt64 type from the Base module.

  6. function Base.UInt64(vlq::VLQ): This function overloads the UInt64 constructor to convert a VLQ value to a UInt64 integer.

  7. reverse(vlq.quant): Similar to the previous code, it reverses the order of the elements in the quant vector.

  8. n = shift!(quant): This line extracts the first element of the quant vector as a UInt64 and stores it in n. The shift! function removes the first element from the vector, effectively "shifting" the remaining elements to the left.

  9. p = one(UInt64): This initializes p to the value 1 as a UInt64.

  10. for i in quant: This loop iterates over the remaining elements of the quant vector, from the second element to the last.

  11. p *= 0x80: In each iteration, it multiplies p by 0x80 (128) to shift the current value to the left by 7 bits.

  12. n += p * ( i & 0x7f): It adds to n the product of p and the current element i, bitwise-ANDed with 0x7f (127). This effectively adds the next 7 bits of the VLQ representation to n.

  13. return n: This line returns the final UInt64 integer representing the converted VLQ value.

  14. const test: This defines a constant named test as a vector of UInt64 values. These values are used as test cases for the VLQ conversion.

  15. for i in test: This loop iterates over the elements of the test vector.

  16. vlq = VLQ(i): For each element i, it converts it into a VLQ representation using the VLQ constructor.

  17. j = UInt(vlq): It converts the VLQ representation vlq back to a UInt64 integer using the overloaded UInt64 constructor.

  18. @printf "0x%-8x => [%-25s] => 0x%x\n": This line formats and prints the original UInt64 value, the VLQ representation as a string of hex values, and the converted UInt64 value. The formatting ensures that the output is aligned and readable.

Overall, this code demonstrates how to represent integers using VLQ, convert VLQ representations back to UInt64 integers, and test the conversion process using a set of predefined values.

Source code in the julia programming language

using Printf

mutable struct VLQ
    quant::Vector{UInt8}
end

function VLQ(n::T) where T <: Integer
    quant = UInt8.(digits(n, 128))
    @inbounds for i in 2:length(quant) quant[i] |= 0x80 end
    VLQ(reverse(quant))
end

import Base.UInt64
function Base.UInt64(vlq::VLQ)
    quant = reverse(vlq.quant)
    n = shift!(quant)
    p = one(UInt64)
    for i in quant
        p *= 0x80
        n += p * ( i & 0x7f)
    end
    return n
end

const test = [0x00200000, 0x001fffff, 0x00000000, 0x0000007f,
              0x00000080, 0x00002000, 0x00003fff, 0x00004000,
              0x08000000, 0x0fffffff]

for i in test
    vlq = VLQ(i)
    j = UInt(vlq)
    @printf "0x%-8x => [%-25s] => 0x%x\n" i join(("0x" * hex(r, 2) for r in vlq.quant), ", ") j
end


  

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