preflate-rs 0.6.3

Decompresses existing DEFLATE streams to allow for better compression (eg with ZStandard) while allowing the exact original binary DEFLATE stream to be recreated by detecting the parameters used during compression.
Documentation
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/*---------------------------------------------------------------------------------------------
 *  Copyright (c) Microsoft Corporation. All rights reserved.
 *  Licensed under the Apache License, Version 2.0. See LICENSE.txt in the project root for license information.
 *  This software incorporates material from third parties. See NOTICE.txt for details.
 *--------------------------------------------------------------------------------------------*/

use crate::{
    cabac_codec::{decode_difference, encode_difference},
    deflate::deflate_constants::{CODETREE_CODE_COUNT, TREE_CODE_ORDER_TABLE},
    deflate::deflate_token::TokenFrequency,
    deflate::{
        huffman_calc::{calc_bit_lengths, HufftreeBitCalc},
        huffman_encoding::{HuffmanOriginalEncoding, TreeCodeType},
    },
    preflate_error::{err_exit_code, ExitCode, Result},
    statistical_codec::{CodecCorrection, PredictionDecoder, PredictionEncoder},
};

pub fn predict_tree_for_block<D: PredictionEncoder>(
    huffman_encoding: &HuffmanOriginalEncoding,
    freq: &TokenFrequency,
    encoder: &mut D,
    huffcalc: HufftreeBitCalc,
) -> Result<()> {
    encoder.encode_verify_state("tree", 0);

    // bit_lengths is a vector of huffman code sizes for literals followed by length codes
    // first predict the size of the literal tree
    let mut bit_lengths = calc_bit_lengths(huffcalc, &freq.literal_codes, 15);

    /*
    let (ao, bo) = huffman_encoding.get_literal_distance_lengths();
     bit_lengths.iter().zip(ao.iter()).enumerate().for_each(|(i, (&a, &b))| {
         assert_eq!(a, b, "i{i} bit_lengths: {:?} ao: {:?}", bit_lengths, ao);
     });
     assert_eq!(bit_lengths[..], ao[..]);
    */

    encoder.encode_correction_diff(
        CodecCorrection::LiteralCountCorrection,
        huffman_encoding.num_literals as u32,
        bit_lengths.len() as u32,
    );

    // now predict the size of the distance tree
    let mut distance_code_lengths = calc_bit_lengths(huffcalc, &freq.distance_codes, 15);
    //assert_eq!(distance_code_lengths[..], bo[..]);

    encoder.encode_correction_diff(
        CodecCorrection::DistanceCountCorrection,
        huffman_encoding.num_dist as u32,
        distance_code_lengths.len() as u32,
    );

    bit_lengths.append(&mut distance_code_lengths);

    // now predict each length code
    predict_ld_trees(encoder, &bit_lengths, huffman_encoding.lengths.as_slice())?;

    // final step, we need to construct the second level huffman tree that is used
    // to store the bit lengths of the huffman tree we just created
    let codetree_freq = calc_codetree_freq(&huffman_encoding.lengths);

    let mut tc_code_tree = calc_bit_lengths(huffcalc, &codetree_freq, 7);

    let tc_code_tree_len = calc_tc_lengths_without_trailing_zeros(&tc_code_tree);

    encoder.encode_correction_diff(
        CodecCorrection::TreeCodeBitLengthCorrection,
        huffman_encoding.num_code_lengths as u32,
        tc_code_tree_len as u32,
    );

    // resize so that when we walk through in TREE_CODE_ORDER_TABLE order, we
    // don't go out of range.
    tc_code_tree.resize(CODETREE_CODE_COUNT, 0);

    for i in 0..huffman_encoding.num_code_lengths {
        let predicted_bl = tc_code_tree[TREE_CODE_ORDER_TABLE[i]];
        encoder.encode_correction(
            CodecCorrection::TreeCodeBitLengthCorrection,
            encode_difference(
                predicted_bl.into(),
                huffman_encoding.code_lengths[TREE_CODE_ORDER_TABLE[i]].into(),
            ),
        );
    }

    Ok(())
}

pub fn recreate_tree_for_block<D: PredictionDecoder>(
    freq: &TokenFrequency,
    codec: &mut D,
    huffcalc: HufftreeBitCalc,
) -> Result<HuffmanOriginalEncoding> {
    codec.decode_verify_state("tree", 0);

    let mut result: HuffmanOriginalEncoding = Default::default();

    let mut bit_lengths = calc_bit_lengths(huffcalc, &freq.literal_codes, 15);

    bit_lengths.resize(
        codec.decode_correction_diff(
            CodecCorrection::LiteralCountCorrection,
            bit_lengths.len() as u32,
        ) as usize,
        0,
    );

    result.num_literals = bit_lengths.len();

    let mut distance_code_lengths = calc_bit_lengths(huffcalc, &freq.distance_codes, 15);

    distance_code_lengths.resize(
        codec.decode_correction_diff(
            CodecCorrection::DistanceCountCorrection,
            distance_code_lengths.len() as u32,
        ) as usize,
        0,
    );

    result.num_dist = distance_code_lengths.len();

    // frequences are encoded as appended together as a single vector
    bit_lengths.append(&mut distance_code_lengths);

    result.lengths = reconstruct_ld_trees(codec, &bit_lengths)?;

    let bl_freqs = calc_codetree_freq(&result.lengths);

    let mut tc_code_tree = calc_bit_lengths(huffcalc, &bl_freqs, 7);

    let mut tc_code_tree_len = calc_tc_lengths_without_trailing_zeros(&tc_code_tree);

    tc_code_tree_len = codec.decode_correction_diff(
        CodecCorrection::TreeCodeBitLengthCorrection,
        tc_code_tree_len as u32,
    ) as usize;

    result.num_code_lengths = tc_code_tree_len;

    // resize so that when we walk through in TREE_CODE_ORDER_TABLE order, we
    // don't go out of range.
    tc_code_tree.resize(CODETREE_CODE_COUNT, 0);

    for i in 0..tc_code_tree_len {
        result.code_lengths[TREE_CODE_ORDER_TABLE[i]] = codec.decode_correction_diff(
            CodecCorrection::TreeCodeBitLengthCorrection,
            tc_code_tree[TREE_CODE_ORDER_TABLE[i]].into(),
        ) as u8;
    }

    Ok(result)
}

/// since treecodes are encoded in a different order (see TREE_CODE_ORDER_TABLE) in
/// order to optimize the chance of removing trailing zeros, we need to calculate
/// the effective encoding size of the length codes
fn calc_tc_lengths_without_trailing_zeros(bit_lengths: &[u8]) -> usize {
    let mut len = bit_lengths.len();
    // remove trailing zeros
    while len > 4 && bit_lengths[TREE_CODE_ORDER_TABLE[len - 1]] == 0 {
        len -= 1;
    }

    len
}

fn predict_ld_trees<D: PredictionEncoder>(
    encoder: &mut D,
    predicted_bit_len: &[u8],
    actual_target_codes: &[(TreeCodeType, u8)],
) -> Result<()> {
    encoder.encode_verify_state("predict_ld_trees", 0);

    let mut symbols = predicted_bit_len;
    let mut prev_code = None;

    assert_eq!(
        actual_target_codes
            .iter()
            .map(|&(a, b)| if a == TreeCodeType::Code {
                1
            } else {
                b as usize
            })
            .sum::<usize>(),
        predicted_bit_len.len(),
        "target_codes RLE encoding should sum to the same length as sym_bit_len"
    );

    for &(target_tree_code_type, target_tree_code_data) in actual_target_codes.iter() {
        if symbols.is_empty() {
            return err_exit_code(ExitCode::InvalidDeflate, "Reconstruction failed");
        }

        let predicted_tree_code_type: TreeCodeType = predict_code_type(symbols, prev_code);

        prev_code = Some(symbols[0]);

        encoder.encode_correction(
            CodecCorrection::LDTypeCorrection,
            encode_difference(
                predicted_tree_code_type as u32,
                target_tree_code_type as u32,
            ),
        );

        let predicted_tree_code_data = predict_code_data(symbols, target_tree_code_type);

        if target_tree_code_type != TreeCodeType::Code {
            encoder.encode_correction(
                CodecCorrection::RepeatCountCorrection,
                encode_difference(
                    predicted_tree_code_data.into(),
                    target_tree_code_data.into(),
                ),
            );
        } else {
            encoder.encode_correction(
                CodecCorrection::LDBitLengthCorrection,
                encode_difference(
                    predicted_tree_code_data.into(),
                    target_tree_code_data.into(),
                ),
            );
        }

        if target_tree_code_type == TreeCodeType::Code {
            symbols = &symbols[1..];
        } else {
            symbols = &symbols[target_tree_code_data as usize..];
        }
    }

    Ok(())
}

fn reconstruct_ld_trees<D: PredictionDecoder>(
    decoder: &mut D,
    sym_bit_len: &[u8],
) -> Result<Vec<(TreeCodeType, u8)>> {
    decoder.decode_verify_state("predict_ld_trees", 0);

    let mut symbols = sym_bit_len;
    let mut prev_code = None;
    let mut result: Vec<(TreeCodeType, u8)> = Vec::new();

    while !symbols.is_empty() {
        let predicted_tree_code_type = predict_code_type(symbols, prev_code);
        prev_code = Some(symbols[0]);

        let predicted_tree_code_type_u32 = decode_difference(
            predicted_tree_code_type as u32,
            decoder.decode_correction(CodecCorrection::LDTypeCorrection),
        );

        const TC_CODE: u32 = TreeCodeType::Code as u32;
        const TC_REPEAT: u32 = TreeCodeType::Repeat as u32;
        const TC_ZERO_SHORT: u32 = TreeCodeType::ZeroShort as u32;
        const TC_ZERO_LONG: u32 = TreeCodeType::ZeroLong as u32;

        let predicted_tree_code_type = match predicted_tree_code_type_u32 {
            TC_CODE => TreeCodeType::Code,
            TC_REPEAT => TreeCodeType::Repeat,
            TC_ZERO_SHORT => TreeCodeType::ZeroShort,
            TC_ZERO_LONG => TreeCodeType::ZeroLong,
            _ => return err_exit_code(ExitCode::RecompressFailed, "Reconstruction failed"),
        };

        let mut predicted_tree_code_data = predict_code_data(symbols, predicted_tree_code_type);

        if predicted_tree_code_type != TreeCodeType::Code {
            predicted_tree_code_data = decode_difference(
                predicted_tree_code_data.into(),
                decoder.decode_correction(CodecCorrection::RepeatCountCorrection),
            ) as u8;
        } else {
            predicted_tree_code_data = decode_difference(
                predicted_tree_code_data.into(),
                decoder.decode_correction(CodecCorrection::LDBitLengthCorrection),
            ) as u8;
        }

        result.push((predicted_tree_code_type, predicted_tree_code_data));

        if predicted_tree_code_type == TreeCodeType::Code {
            symbols = &symbols[1..];
        } else {
            symbols = &symbols[predicted_tree_code_data as usize..];
        }
    }

    Ok(result)
}

/// calculates the treecode frequence for the given block, which is used to
/// to calculate the huffman tree for encoding the treecodes themselves
fn calc_codetree_freq(codes: &[(TreeCodeType, u8)]) -> [u16; CODETREE_CODE_COUNT] {
    let mut bl_freqs = [0u16; CODETREE_CODE_COUNT];

    for (code, data) in codes.iter() {
        match code {
            TreeCodeType::Code => {
                bl_freqs[*data as usize] += 1;
            }
            TreeCodeType::Repeat => {
                bl_freqs[16] += 1;
            }
            TreeCodeType::ZeroShort => {
                bl_freqs[17] += 1;
            }
            TreeCodeType::ZeroLong => {
                bl_freqs[18] += 1;
            }
        }
    }

    bl_freqs
}

fn predict_code_type(sym_bit_len: &[u8], previous_code: Option<u8>) -> TreeCodeType {
    let code = sym_bit_len[0];
    if code == 0 {
        let mut curlen = 1;
        let max_cur_len = std::cmp::min(sym_bit_len.len(), 11);
        while curlen < max_cur_len && sym_bit_len[curlen] == 0 {
            curlen += 1;
        }
        if curlen >= 11 {
            TreeCodeType::ZeroLong
        } else if curlen >= 3 {
            TreeCodeType::ZeroShort
        } else {
            TreeCodeType::Code
        }
    } else if let Some(code) = previous_code {
        let mut curlen = 0;
        while curlen < sym_bit_len.len() && sym_bit_len[curlen] == code {
            curlen += 1;
        }
        if curlen >= 3 {
            TreeCodeType::Repeat
        } else {
            TreeCodeType::Code
        }
    } else {
        TreeCodeType::Code
    }
}

fn predict_code_data(sym_bit_len: &[u8], code_type: TreeCodeType) -> u8 {
    let code = sym_bit_len[0];
    match code_type {
        TreeCodeType::Code => code,
        TreeCodeType::Repeat => {
            let mut curlen = 3;
            let max_cur_len = std::cmp::min(sym_bit_len.len(), 6);
            while curlen < max_cur_len && sym_bit_len[curlen] == code {
                curlen += 1;
            }
            curlen as u8
        }
        TreeCodeType::ZeroShort | TreeCodeType::ZeroLong => {
            let mut curlen = if code_type == TreeCodeType::ZeroShort {
                3
            } else {
                11
            };
            let max_cur_len = std::cmp::min(
                sym_bit_len.len(),
                if code_type == TreeCodeType::ZeroShort {
                    10
                } else {
                    138
                },
            );
            while curlen < max_cur_len && sym_bit_len[curlen] == 0 {
                curlen += 1;
            }
            curlen as u8
        }
    }
}

#[test]
fn encode_roundtrip_perfect() {
    use crate::statistical_codec::AssertDefaultOnlyDecoder;
    use crate::statistical_codec::VerifyPredictionEncoder;

    for huffcalc in [HufftreeBitCalc::Miniz, HufftreeBitCalc::Zlib] {
        let mut freq = TokenFrequency::default();
        freq.literal_codes[0] = 100;
        freq.literal_codes[1] = 50;
        freq.literal_codes[2] = 25;

        freq.distance_codes[0] = 100;
        freq.distance_codes[1] = 50;
        freq.distance_codes[2] = 25;

        let mut empty_decoder = AssertDefaultOnlyDecoder {};
        let regenerated_header =
            recreate_tree_for_block(&freq, &mut empty_decoder, huffcalc).unwrap();

        assert_eq!(regenerated_header.num_literals, 257);
        assert_eq!(regenerated_header.num_dist, 3);
        assert_eq!(regenerated_header.lengths[0], (TreeCodeType::Code, 1));
        assert_eq!(regenerated_header.lengths[1], (TreeCodeType::Code, 2));
        assert_eq!(regenerated_header.lengths[2], (TreeCodeType::Code, 3));

        let mut empty_encoder = VerifyPredictionEncoder::default();
        predict_tree_for_block(&regenerated_header, &freq, &mut empty_encoder, huffcalc).unwrap();
        assert_eq!(empty_encoder.count_nondefault_actions(), 0);
    }
}

#[test]
fn encode_perfect_encoding() {
    use crate::statistical_codec::{AssertDefaultOnlyDecoder, VerifyPredictionEncoder};

    let mut freq = TokenFrequency::default();
    // fill with random frequencies
    let mut v: u16 = 10;
    freq.literal_codes.fill_with(|| {
        v = v.wrapping_add(997);
        v
    });
    freq.distance_codes.fill_with(|| {
        v = v.wrapping_add(997);
        v
    });

    // use the default encoder the says that everything is ok
    let mut default_only_decoder = AssertDefaultOnlyDecoder {};
    let default_encoding =
        recreate_tree_for_block(&freq, &mut default_only_decoder, HufftreeBitCalc::Zlib).unwrap();

    // now predict the encoding using the default encoding and it should be perfect
    let mut empty_encoder = VerifyPredictionEncoder::default();
    predict_tree_for_block(
        &default_encoding,
        &freq,
        &mut empty_encoder,
        HufftreeBitCalc::Zlib,
    )
    .unwrap();
    assert_eq!(empty_encoder.count_nondefault_actions(), 0);
}

#[test]
fn encode_tree_roundtrip() {
    use crate::statistical_codec::{VerifyPredictionDecoder, VerifyPredictionEncoder};

    let mut freq = TokenFrequency::default();
    freq.literal_codes[0] = 100;
    freq.literal_codes[1] = 50;
    freq.literal_codes[2] = 25;

    freq.distance_codes[0] = 100;
    freq.distance_codes[1] = 50;
    freq.distance_codes[2] = 25;

    let huff_origin = HuffmanOriginalEncoding {
        lengths: vec![
            (TreeCodeType::Code, 4),
            (TreeCodeType::Code, 4),
            (TreeCodeType::Code, 4),
            (TreeCodeType::ZeroLong, 138),
            (TreeCodeType::ZeroLong, 115),
            (TreeCodeType::Code, 3),
            (TreeCodeType::Code, 1),
            (TreeCodeType::Code, 2),
            (TreeCodeType::Code, 2),
        ],
        code_lengths: [0, 3, 2, 3, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
        num_literals: 257,
        num_dist: 3,
        num_code_lengths: 19,
    };

    let mut encoder = VerifyPredictionEncoder::default();

    predict_tree_for_block(&huff_origin, &freq, &mut encoder, HufftreeBitCalc::Zlib).unwrap();

    let mut decoder = VerifyPredictionDecoder::new(encoder.actions());

    let regenerated_header =
        recreate_tree_for_block(&freq, &mut decoder, HufftreeBitCalc::Zlib).unwrap();

    assert_eq!(huff_origin, regenerated_header);
}

/// test that we can reconstruct the tree from the predicted bit lengths where
/// the predicted lengths are totally wrong
#[test]
fn encode_totally_different_tree() {
    use crate::statistical_codec::{VerifyPredictionDecoder, VerifyPredictionEncoder};
    use TreeCodeType::*;

    #[rustfmt::skip]
    let predicted_bit_len = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
        0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 6, 6, 5, 7, 7, 8,
        0, 0, 0, 8, 0, 8, 0, 8, 0, 7, 6, 7, 7, 0, 0, 0, 8, 8, 7, 0, 0, 0, 0, 0, 0, 0, 0, 8, 8, 7, 0,
        0, 8, 7, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 7, 5, 6, 4, 6, 7, 7, 5, 8, 8, 6, 5, 5, 5, 5,
        0, 5, 5, 4, 7, 7, 7, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
        0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
        0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
        0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
        0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 4, 6, 6, 6, 7, 8, 6, 0, 8, 0, 7,
        0, 7, 7, 7, 6, 6, 7, 8, 8, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 0, 0, 7, 7, 4, 4, 3, 3,
        2, 3, 3, 7, 6, 6, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0];

    #[rustfmt::skip]
    let actual_target_codes  =
        [(Code, 14), (Repeat, 6), (Code, 14), (Code, 14), (Code, 12), (Code, 6), (Code, 14),
        (Repeat, 6), (Repeat, 6), (Repeat, 6), (Code, 13), (Code, 14), (Code, 6), (Code, 14),
        (Code, 10), (Code, 12), (Code, 14), (Code, 14), (Code, 13), (Code, 10), (Code, 8), (Code, 9),
        (Code, 11), (Code, 10), (Code, 7), (Code, 8), (Code, 7), (Code, 9), (Code, 8), (Code, 8),
        (Code, 8), (Code, 9), (Code, 8), (Code, 9), (Code, 10), (Code, 9), (Code, 8), (Code, 9),
        (Code, 9), (Code, 8), (Code, 9), (Code, 10), (Code, 8), (Code, 14), (Code, 14), (Code, 8),
        (Code, 9), (Code, 8), (Code, 9), (Code, 8), (Code, 9), (Code, 10), (Code, 11), (Code, 8),
        (Code, 11), (Code, 14), (Code, 9), (Code, 10), (Code, 9), (Code, 10), (Code, 9), (Code, 12),
        (Code, 9), (Code, 9), (Code, 9), (Code, 10), (Code, 12), (Code, 11), (Code, 14), (Code, 14),
        (Code, 12), (Code, 11), (Code, 14), (Code, 11), (Code, 14), (Code, 14), (Code, 14), (Code, 6),
        (Code, 7), (Code, 7), (Code, 7), (Code, 6), (Code, 8), (Code, 8), (Code, 7), (Code, 6),
        (Code, 12), (Code, 9), (Code, 6), (Code, 7), (Code, 7), (Code, 6), (Code, 7), (Code, 13),
        (Code, 6), (Code, 6), (Code, 6), (Code, 7), (Code, 8), (Code, 8), (Code, 9), (Code, 8),
        (Code, 11), (Code, 13), (Code, 12), (Code, 13), (Code, 13), (Code, 14), (Repeat, 6),
        (Repeat, 6), (Repeat, 6), (Repeat, 6), (Repeat, 6), (Repeat, 6), (Repeat, 6), (Repeat, 6),
        (Repeat, 6), (Repeat, 6), (Repeat, 6), (Repeat, 6), (Repeat, 6), (Repeat, 6), (Repeat, 6),
        (Repeat, 6), (Repeat, 6), (Repeat, 6), (Repeat, 6), (Code, 14), (Code, 13), (Code, 13),
        (Code, 13), (Code, 14), (Code, 13), (Code, 14), (Code, 13), (Code, 14), (Code, 13),
        (Code, 14), (Repeat, 4), (Code, 4), (Code, 3), (Code, 4), (Code, 4), (Code, 4), (Code, 5),
        (Repeat, 4), (Code, 6), (Code, 6), (Code, 5), (Code, 6), (Code, 7), (Code, 8), (Code, 8),
        (Code, 9), (Code, 10), (Code, 9), (Code, 10), (Code, 12), (Code, 11), (Code, 12), (Code, 14),
        (Code, 14), (Code, 14), (Code, 12), (Code, 11), (Code, 6), (Code, 10), (Code, 11), (Code, 11),
        (Code, 9), (Code, 8), (Code, 8), (Code, 8), (Code, 7), (Code, 7), (Code, 5), (Code, 6),
        (Code, 4), (Code, 5), (Code, 4), (Code, 5), (Code, 4), (Code, 5), (Code, 4), (Repeat, 6),
        (Code, 5), (Code, 4), (Code, 5), (Code, 5), (Code, 5)];

    let mut encoder = VerifyPredictionEncoder::default();

    predict_ld_trees(&mut encoder, &predicted_bit_len, &actual_target_codes).unwrap();

    let mut decoder = VerifyPredictionDecoder::new(encoder.actions());

    let regenerated_header = reconstruct_ld_trees(&mut decoder, &predicted_bit_len).unwrap();

    assert_eq!(actual_target_codes, regenerated_header.as_slice());
}