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diff --git a/vendor/fdeflate/src/lib.rs b/vendor/fdeflate/src/lib.rs
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+//! A fast deflate implementation.
+//!
+//! This crate contains an optimized implementation of the deflate algorithm tuned to compress PNG
+//! images. It is compatible with standard zlib, but make a bunch of simplifying assumptions that
+//! drastically improve encoding performance:
+//!
+//! - Exactly one block per deflate stream.
+//! - No distance codes except for run length encoding of zeros.
+//! - A single fixed huffman tree trained on a large corpus of PNG images.
+//! - All huffman codes are 12 bits or less.
+//!
+//! It also contains a fast decompressor that supports arbitrary zlib streams but does especially
+//! well on streams that meet the above assumptions.
+//!
+//! # Inspiration
+//!
+//! The algorithms in this crate take inspiration from multiple sources:
+//! * [fpnge](https://github.com/veluca93/fpnge)
+//! * [zune-inflate](https://github.com/etemesi254/zune-image/tree/main/zune-inflate)
+//! * [RealTime Data Compression blog](https://fastcompression.blogspot.com/2015/10/huffman-revisited-part-4-multi-bytes.html)
+#![forbid(unsafe_code)]
+#![warn(missing_docs)]
+
+mod compress;
+mod decompress;
+mod tables;
+
+pub use compress::{compress_to_vec, Compressor, StoredOnlyCompressor};
+pub use decompress::{
+    decompress_to_vec, decompress_to_vec_bounded, BoundedDecompressionError, DecompressionError,
+    Decompressor,
+};
+
+/// Build a length limited huffman tree.
+///
+/// Dynamic programming algorithm from fpnge.
+#[doc(hidden)]
+pub fn compute_code_lengths(
+    freqs: &[u64],
+    min_limit: &[u8],
+    max_limit: &[u8],
+    calculated_nbits: &mut [u8],
+) {
+    debug_assert_eq!(freqs.len(), min_limit.len());
+    debug_assert_eq!(freqs.len(), max_limit.len());
+    debug_assert_eq!(freqs.len(), calculated_nbits.len());
+    let len = freqs.len();
+
+    for i in 0..len {
+        debug_assert!(min_limit[i] >= 1);
+        debug_assert!(min_limit[i] <= max_limit[i]);
+    }
+
+    let precision = *max_limit.iter().max().unwrap();
+    let num_patterns = 1 << precision;
+
+    let mut dynp = vec![u64::MAX; (num_patterns + 1) * (len + 1)];
+    let index = |sym: usize, off: usize| sym * (num_patterns + 1) + off;
+
+    dynp[index(0, 0)] = 0;
+    for sym in 0..len {
+        for bits in min_limit[sym]..=max_limit[sym] {
+            let off_delta = 1 << (precision - bits);
+            for off in 0..=num_patterns.saturating_sub(off_delta) {
+                dynp[index(sym + 1, off + off_delta)] = dynp[index(sym, off)]
+                    .saturating_add(freqs[sym] * u64::from(bits))
+                    .min(dynp[index(sym + 1, off + off_delta)]);
+            }
+        }
+    }
+
+    let mut sym = len;
+    let mut off = num_patterns;
+
+    while sym > 0 {
+        sym -= 1;
+        assert!(off > 0);
+
+        for bits in min_limit[sym]..=max_limit[sym] {
+            let off_delta = 1 << (precision - bits);
+            if off_delta <= off
+                && dynp[index(sym + 1, off)]
+                    == dynp[index(sym, off - off_delta)]
+                        .saturating_add(freqs[sym] * u64::from(bits))
+            {
+                off -= off_delta;
+                calculated_nbits[sym] = bits;
+                break;
+            }
+        }
+    }
+
+    for i in 0..len {
+        debug_assert!(calculated_nbits[i] >= min_limit[i]);
+        debug_assert!(calculated_nbits[i] <= max_limit[i]);
+    }
+}
+
+const fn compute_codes<const NSYMS: usize>(lengths: &[u8; NSYMS]) -> Option<[u16; NSYMS]> {
+    let mut codes = [0u16; NSYMS];
+
+    let mut code = 0u32;
+
+    let mut len = 1;
+    while len <= 16 {
+        let mut i = 0;
+        while i < lengths.len() {
+            if lengths[i] == len {
+                codes[i] = (code as u16).reverse_bits() >> (16 - len);
+                code += 1;
+            }
+            i += 1;
+        }
+        code <<= 1;
+        len += 1;
+    }
+
+    if code == 2 << 16 {
+        Some(codes)
+    } else {
+        None
+    }
+}