zig/lib/std/compress/flate/BlockWriter.zig
Andrew Kelley 79f267f6b9 std.Io: delete GenericReader
and delete deprecated alias std.io
2025-08-29 17:14:26 -07:00

592 lines
20 KiB
Zig

//! Accepts list of tokens, decides what is best block type to write. What block
//! type will provide best compression. Writes header and body of the block.
const std = @import("std");
const assert = std.debug.assert;
const Writer = std.Io.Writer;
const BlockWriter = @This();
const flate = @import("../flate.zig");
const Compress = flate.Compress;
const HuffmanEncoder = flate.HuffmanEncoder;
const Token = @import("Token.zig");
const codegen_order = HuffmanEncoder.codegen_order;
const end_code_mark = 255;
output: *Writer,
codegen_freq: [HuffmanEncoder.codegen_code_count]u16,
literal_freq: [HuffmanEncoder.max_num_lit]u16,
distance_freq: [HuffmanEncoder.distance_code_count]u16,
codegen: [HuffmanEncoder.max_num_lit + HuffmanEncoder.distance_code_count + 1]u8,
literal_encoding: HuffmanEncoder,
distance_encoding: HuffmanEncoder,
codegen_encoding: HuffmanEncoder,
fixed_literal_encoding: HuffmanEncoder,
fixed_distance_encoding: HuffmanEncoder,
huff_distance: HuffmanEncoder,
fixed_literal_codes: [HuffmanEncoder.max_num_frequencies]HuffmanEncoder.Code,
fixed_distance_codes: [HuffmanEncoder.distance_code_count]HuffmanEncoder.Code,
distance_codes: [HuffmanEncoder.distance_code_count]HuffmanEncoder.Code,
pub fn init(output: *Writer) BlockWriter {
return .{
.output = output,
.codegen_freq = undefined,
.literal_freq = undefined,
.distance_freq = undefined,
.codegen = undefined,
.literal_encoding = undefined,
.distance_encoding = undefined,
.codegen_encoding = undefined,
.fixed_literal_encoding = undefined,
.fixed_distance_encoding = undefined,
.huff_distance = undefined,
.fixed_literal_codes = undefined,
.fixed_distance_codes = undefined,
.distance_codes = undefined,
};
}
pub fn initBuffers(bw: *BlockWriter) void {
bw.fixed_literal_encoding = .fixedLiteralEncoder(&bw.fixed_literal_codes);
bw.fixed_distance_encoding = .fixedDistanceEncoder(&bw.fixed_distance_codes);
bw.huff_distance = .huffmanDistanceEncoder(&bw.distance_codes);
}
/// Flush intrenal bit buffer to the writer.
/// Should be called only when bit stream is at byte boundary.
///
/// That is after final block; when last byte could be incomplete or
/// after stored block; which is aligned to the byte boundary (it has x
/// padding bits after first 3 bits).
pub fn flush(self: *BlockWriter) Writer.Error!void {
try self.bit_writer.flush();
}
fn writeCode(self: *BlockWriter, c: Compress.HuffCode) Writer.Error!void {
try self.bit_writer.writeBits(c.code, c.len);
}
/// RFC 1951 3.2.7 specifies a special run-length encoding for specifying
/// the literal and distance lengths arrays (which are concatenated into a single
/// array). This method generates that run-length encoding.
///
/// The result is written into the codegen array, and the frequencies
/// of each code is written into the codegen_freq array.
/// Codes 0-15 are single byte codes. Codes 16-18 are followed by additional
/// information. Code bad_code is an end marker
///
/// num_literals: The number of literals in literal_encoding
/// num_distances: The number of distances in distance_encoding
/// lit_enc: The literal encoder to use
/// dist_enc: The distance encoder to use
fn generateCodegen(
self: *BlockWriter,
num_literals: u32,
num_distances: u32,
lit_enc: *Compress.LiteralEncoder,
dist_enc: *Compress.DistanceEncoder,
) void {
for (self.codegen_freq, 0..) |_, i| {
self.codegen_freq[i] = 0;
}
// Note that we are using codegen both as a temporary variable for holding
// a copy of the frequencies, and as the place where we put the result.
// This is fine because the output is always shorter than the input used
// so far.
var codegen = &self.codegen; // cache
// Copy the concatenated code sizes to codegen. Put a marker at the end.
var cgnl = codegen[0..num_literals];
for (cgnl, 0..) |_, i| {
cgnl[i] = @as(u8, @intCast(lit_enc.codes[i].len));
}
cgnl = codegen[num_literals .. num_literals + num_distances];
for (cgnl, 0..) |_, i| {
cgnl[i] = @as(u8, @intCast(dist_enc.codes[i].len));
}
codegen[num_literals + num_distances] = end_code_mark;
var size = codegen[0];
var count: i32 = 1;
var out_index: u32 = 0;
var in_index: u32 = 1;
while (size != end_code_mark) : (in_index += 1) {
// INVARIANT: We have seen "count" copies of size that have not yet
// had output generated for them.
const next_size = codegen[in_index];
if (next_size == size) {
count += 1;
continue;
}
// We need to generate codegen indicating "count" of size.
if (size != 0) {
codegen[out_index] = size;
out_index += 1;
self.codegen_freq[size] += 1;
count -= 1;
while (count >= 3) {
var n: i32 = 6;
if (n > count) {
n = count;
}
codegen[out_index] = 16;
out_index += 1;
codegen[out_index] = @as(u8, @intCast(n - 3));
out_index += 1;
self.codegen_freq[16] += 1;
count -= n;
}
} else {
while (count >= 11) {
var n: i32 = 138;
if (n > count) {
n = count;
}
codegen[out_index] = 18;
out_index += 1;
codegen[out_index] = @as(u8, @intCast(n - 11));
out_index += 1;
self.codegen_freq[18] += 1;
count -= n;
}
if (count >= 3) {
// 3 <= count <= 10
codegen[out_index] = 17;
out_index += 1;
codegen[out_index] = @as(u8, @intCast(count - 3));
out_index += 1;
self.codegen_freq[17] += 1;
count = 0;
}
}
count -= 1;
while (count >= 0) : (count -= 1) {
codegen[out_index] = size;
out_index += 1;
self.codegen_freq[size] += 1;
}
// Set up invariant for next time through the loop.
size = next_size;
count = 1;
}
// Marker indicating the end of the codegen.
codegen[out_index] = end_code_mark;
}
const DynamicSize = struct {
size: u32,
num_codegens: u32,
};
/// dynamicSize returns the size of dynamically encoded data in bits.
fn dynamicSize(
self: *BlockWriter,
lit_enc: *Compress.LiteralEncoder, // literal encoder
dist_enc: *Compress.DistanceEncoder, // distance encoder
extra_bits: u32,
) DynamicSize {
var num_codegens = self.codegen_freq.len;
while (num_codegens > 4 and self.codegen_freq[codegen_order[num_codegens - 1]] == 0) {
num_codegens -= 1;
}
const header = 3 + 5 + 5 + 4 + (3 * num_codegens) +
self.codegen_encoding.bitLength(self.codegen_freq[0..]) +
self.codegen_freq[16] * 2 +
self.codegen_freq[17] * 3 +
self.codegen_freq[18] * 7;
const size = header +
lit_enc.bitLength(&self.literal_freq) +
dist_enc.bitLength(&self.distance_freq) +
extra_bits;
return DynamicSize{
.size = @as(u32, @intCast(size)),
.num_codegens = @as(u32, @intCast(num_codegens)),
};
}
/// fixedSize returns the size of dynamically encoded data in bits.
fn fixedSize(self: *BlockWriter, extra_bits: u32) u32 {
return 3 +
self.fixed_literal_encoding.bitLength(&self.literal_freq) +
self.fixed_distance_encoding.bitLength(&self.distance_freq) +
extra_bits;
}
const StoredSize = struct {
size: u32,
storable: bool,
};
/// storedSizeFits calculates the stored size, including header.
/// The function returns the size in bits and whether the block
/// fits inside a single block.
fn storedSizeFits(in: ?[]const u8) StoredSize {
if (in == null) {
return .{ .size = 0, .storable = false };
}
if (in.?.len <= HuffmanEncoder.max_store_block_size) {
return .{ .size = @as(u32, @intCast((in.?.len + 5) * 8)), .storable = true };
}
return .{ .size = 0, .storable = false };
}
/// Write the header of a dynamic Huffman block to the output stream.
///
/// num_literals: The number of literals specified in codegen
/// num_distances: The number of distances specified in codegen
/// num_codegens: The number of codegens used in codegen
/// eof: Is it the end-of-file? (end of stream)
fn dynamicHeader(
self: *BlockWriter,
num_literals: u32,
num_distances: u32,
num_codegens: u32,
eof: bool,
) Writer.Error!void {
const first_bits: u32 = if (eof) 5 else 4;
try self.bit_writer.writeBits(first_bits, 3);
try self.bit_writer.writeBits(num_literals - 257, 5);
try self.bit_writer.writeBits(num_distances - 1, 5);
try self.bit_writer.writeBits(num_codegens - 4, 4);
var i: u32 = 0;
while (i < num_codegens) : (i += 1) {
const value = self.codegen_encoding.codes[codegen_order[i]].len;
try self.bit_writer.writeBits(value, 3);
}
i = 0;
while (true) {
const code_word: u32 = @as(u32, @intCast(self.codegen[i]));
i += 1;
if (code_word == end_code_mark) {
break;
}
try self.writeCode(self.codegen_encoding.codes[@as(u32, @intCast(code_word))]);
switch (code_word) {
16 => {
try self.bit_writer.writeBits(self.codegen[i], 2);
i += 1;
},
17 => {
try self.bit_writer.writeBits(self.codegen[i], 3);
i += 1;
},
18 => {
try self.bit_writer.writeBits(self.codegen[i], 7);
i += 1;
},
else => {},
}
}
}
fn storedHeader(self: *BlockWriter, length: usize, eof: bool) Writer.Error!void {
assert(length <= 65535);
const flag: u32 = if (eof) 1 else 0;
try self.bit_writer.writeBits(flag, 3);
try self.flush();
const l: u16 = @intCast(length);
try self.bit_writer.writeBits(l, 16);
try self.bit_writer.writeBits(~l, 16);
}
fn fixedHeader(self: *BlockWriter, eof: bool) Writer.Error!void {
// Indicate that we are a fixed Huffman block
var value: u32 = 2;
if (eof) {
value = 3;
}
try self.bit_writer.writeBits(value, 3);
}
/// Write a block of tokens with the smallest encoding. Will choose block type.
/// The original input can be supplied, and if the huffman encoded data
/// is larger than the original bytes, the data will be written as a
/// stored block.
/// If the input is null, the tokens will always be Huffman encoded.
pub fn write(self: *BlockWriter, tokens: []const Token, eof: bool, input: ?[]const u8) Writer.Error!void {
const lit_and_dist = self.indexTokens(tokens);
const num_literals = lit_and_dist.num_literals;
const num_distances = lit_and_dist.num_distances;
var extra_bits: u32 = 0;
const ret = storedSizeFits(input);
const stored_size = ret.size;
const storable = ret.storable;
if (storable) {
// We only bother calculating the costs of the extra bits required by
// the length of distance fields (which will be the same for both fixed
// and dynamic encoding), if we need to compare those two encodings
// against stored encoding.
var length_code: u16 = Token.length_codes_start + 8;
while (length_code < num_literals) : (length_code += 1) {
// First eight length codes have extra size = 0.
extra_bits += @as(u32, @intCast(self.literal_freq[length_code])) *
@as(u32, @intCast(Token.lengthExtraBits(length_code)));
}
var distance_code: u16 = 4;
while (distance_code < num_distances) : (distance_code += 1) {
// First four distance codes have extra size = 0.
extra_bits += @as(u32, @intCast(self.distance_freq[distance_code])) *
@as(u32, @intCast(Token.distanceExtraBits(distance_code)));
}
}
// Figure out smallest code.
// Fixed Huffman baseline.
var literal_encoding = &self.fixed_literal_encoding;
var distance_encoding = &self.fixed_distance_encoding;
var size = self.fixedSize(extra_bits);
// Dynamic Huffman?
var num_codegens: u32 = 0;
// Generate codegen and codegenFrequencies, which indicates how to encode
// the literal_encoding and the distance_encoding.
self.generateCodegen(
num_literals,
num_distances,
&self.literal_encoding,
&self.distance_encoding,
);
self.codegen_encoding.generate(self.codegen_freq[0..], 7);
const dynamic_size = self.dynamicSize(
&self.literal_encoding,
&self.distance_encoding,
extra_bits,
);
const dyn_size = dynamic_size.size;
num_codegens = dynamic_size.num_codegens;
if (dyn_size < size) {
size = dyn_size;
literal_encoding = &self.literal_encoding;
distance_encoding = &self.distance_encoding;
}
// Stored bytes?
if (storable and stored_size < size) {
try self.storedBlock(input.?, eof);
return;
}
// Huffman.
if (@intFromPtr(literal_encoding) == @intFromPtr(&self.fixed_literal_encoding)) {
try self.fixedHeader(eof);
} else {
try self.dynamicHeader(num_literals, num_distances, num_codegens, eof);
}
// Write the tokens.
try self.writeTokens(tokens, &literal_encoding.codes, &distance_encoding.codes);
}
pub fn storedBlock(self: *BlockWriter, input: []const u8, eof: bool) Writer.Error!void {
try self.storedHeader(input.len, eof);
try self.bit_writer.writeBytes(input);
}
/// writeBlockDynamic encodes a block using a dynamic Huffman table.
/// This should be used if the symbols used have a disproportionate
/// histogram distribution.
/// If input is supplied and the compression savings are below 1/16th of the
/// input size the block is stored.
fn dynamicBlock(
self: *BlockWriter,
tokens: []const Token,
eof: bool,
input: ?[]const u8,
) Writer.Error!void {
const total_tokens = self.indexTokens(tokens);
const num_literals = total_tokens.num_literals;
const num_distances = total_tokens.num_distances;
// Generate codegen and codegenFrequencies, which indicates how to encode
// the literal_encoding and the distance_encoding.
self.generateCodegen(
num_literals,
num_distances,
&self.literal_encoding,
&self.distance_encoding,
);
self.codegen_encoding.generate(self.codegen_freq[0..], 7);
const dynamic_size = self.dynamicSize(&self.literal_encoding, &self.distance_encoding, 0);
const size = dynamic_size.size;
const num_codegens = dynamic_size.num_codegens;
// Store bytes, if we don't get a reasonable improvement.
const stored_size = storedSizeFits(input);
const ssize = stored_size.size;
const storable = stored_size.storable;
if (storable and ssize < (size + (size >> 4))) {
try self.storedBlock(input.?, eof);
return;
}
// Write Huffman table.
try self.dynamicHeader(num_literals, num_distances, num_codegens, eof);
// Write the tokens.
try self.writeTokens(tokens, &self.literal_encoding.codes, &self.distance_encoding.codes);
}
const TotalIndexedTokens = struct {
num_literals: u32,
num_distances: u32,
};
/// Indexes a slice of tokens followed by an end_block_marker, and updates
/// literal_freq and distance_freq, and generates literal_encoding
/// and distance_encoding.
/// The number of literal and distance tokens is returned.
fn indexTokens(self: *BlockWriter, tokens: []const Token) TotalIndexedTokens {
var num_literals: u32 = 0;
var num_distances: u32 = 0;
for (self.literal_freq, 0..) |_, i| {
self.literal_freq[i] = 0;
}
for (self.distance_freq, 0..) |_, i| {
self.distance_freq[i] = 0;
}
for (tokens) |t| {
if (t.kind == Token.Kind.literal) {
self.literal_freq[t.literal()] += 1;
continue;
}
self.literal_freq[t.lengthCode()] += 1;
self.distance_freq[t.distanceCode()] += 1;
}
// add end_block_marker token at the end
self.literal_freq[HuffmanEncoder.end_block_marker] += 1;
// get the number of literals
num_literals = @as(u32, @intCast(self.literal_freq.len));
while (self.literal_freq[num_literals - 1] == 0) {
num_literals -= 1;
}
// get the number of distances
num_distances = @as(u32, @intCast(self.distance_freq.len));
while (num_distances > 0 and self.distance_freq[num_distances - 1] == 0) {
num_distances -= 1;
}
if (num_distances == 0) {
// We haven't found a single match. If we want to go with the dynamic encoding,
// we should count at least one distance to be sure that the distance huffman tree could be encoded.
self.distance_freq[0] = 1;
num_distances = 1;
}
self.literal_encoding.generate(&self.literal_freq, 15);
self.distance_encoding.generate(&self.distance_freq, 15);
return TotalIndexedTokens{
.num_literals = num_literals,
.num_distances = num_distances,
};
}
/// Writes a slice of tokens to the output followed by and end_block_marker.
/// codes for literal and distance encoding must be supplied.
fn writeTokens(
self: *BlockWriter,
tokens: []const Token,
le_codes: []Compress.HuffCode,
oe_codes: []Compress.HuffCode,
) Writer.Error!void {
for (tokens) |t| {
if (t.kind == Token.Kind.literal) {
try self.writeCode(le_codes[t.literal()]);
continue;
}
// Write the length
const le = t.lengthEncoding();
try self.writeCode(le_codes[le.code]);
if (le.extra_bits > 0) {
try self.bit_writer.writeBits(le.extra_length, le.extra_bits);
}
// Write the distance
const oe = t.distanceEncoding();
try self.writeCode(oe_codes[oe.code]);
if (oe.extra_bits > 0) {
try self.bit_writer.writeBits(oe.extra_distance, oe.extra_bits);
}
}
// add end_block_marker at the end
try self.writeCode(le_codes[HuffmanEncoder.end_block_marker]);
}
/// Encodes a block of bytes as either Huffman encoded literals or uncompressed bytes
/// if the results only gains very little from compression.
pub fn huffmanBlock(self: *BlockWriter, input: []const u8, eof: bool) Writer.Error!void {
// Add everything as literals
histogram(input, &self.literal_freq);
self.literal_freq[HuffmanEncoder.end_block_marker] = 1;
const num_literals = HuffmanEncoder.end_block_marker + 1;
self.distance_freq[0] = 1;
const num_distances = 1;
self.literal_encoding.generate(&self.literal_freq, 15);
// Figure out smallest code.
// Always use dynamic Huffman or Store
var num_codegens: u32 = 0;
// Generate codegen and codegenFrequencies, which indicates how to encode
// the literal_encoding and the distance_encoding.
self.generateCodegen(
num_literals,
num_distances,
&self.literal_encoding,
&self.huff_distance,
);
self.codegen_encoding.generate(self.codegen_freq[0..], 7);
const dynamic_size = self.dynamicSize(&self.literal_encoding, &self.huff_distance, 0);
const size = dynamic_size.size;
num_codegens = dynamic_size.num_codegens;
// Store bytes, if we don't get a reasonable improvement.
const stored_size_ret = storedSizeFits(input);
const ssize = stored_size_ret.size;
const storable = stored_size_ret.storable;
if (storable and ssize < (size + (size >> 4))) {
try self.storedBlock(input, eof);
return;
}
// Huffman.
try self.dynamicHeader(num_literals, num_distances, num_codegens, eof);
const encoding = self.literal_encoding.codes[0..257];
for (input) |t| {
const c = encoding[t];
try self.bit_writer.writeBits(c.code, c.len);
}
try self.writeCode(encoding[HuffmanEncoder.end_block_marker]);
}
fn histogram(b: []const u8, h: *[286]u16) void {
// Clear histogram
for (h, 0..) |_, i| {
h[i] = 0;
}
var lh = h.*[0..256];
for (b) |t| {
lh[t] += 1;
}
}