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+// Copyright (c) the JPEG XL Project Authors. All rights reserved.
+//
+// Use of this source code is governed by a BSD-style
+// license that can be found in the LICENSE file.
+
+#ifndef LIB_JXL_ENC_ANS_PARAMS_H_
+#define LIB_JXL_ENC_ANS_PARAMS_H_
+
+// Encoder-only parameter needed for ANS entropy encoding methods.
+
+#include <stdint.h>
+#include <stdlib.h>
+
+#include "lib/jxl/enc_params.h"
+
+namespace jxl {
+
+struct HistogramParams {
+ enum class ClusteringType {
+ kFastest, // Only 4 clusters.
+ kFast,
+ kBest,
+ };
+
+ enum class HybridUintMethod {
+ kNone, // just use kHybridUint420Config.
+ k000, // force the fastest option.
+ kFast, // just try a couple of options.
+ kContextMap, // fast choice for ctx map.
+ kBest,
+ };
+
+ enum class LZ77Method {
+ kNone, // do not try lz77.
+ kRLE, // only try doing RLE.
+ kLZ77, // try lz77 with backward references.
+ kOptimal, // optimal-matching LZ77 parsing.
+ };
+
+ enum class ANSHistogramStrategy {
+ kFast, // Only try some methods, early exit.
+ kApproximate, // Only try some methods.
+ kPrecise, // Try all methods.
+ };
+
+ HistogramParams() = default;
+
+ HistogramParams(SpeedTier tier, size_t num_ctx) {
+ if (tier > SpeedTier::kFalcon) {
+ clustering = ClusteringType::kFastest;
+ lz77_method = LZ77Method::kNone;
+ } else if (tier > SpeedTier::kTortoise) {
+ clustering = ClusteringType::kFast;
+ } else {
+ clustering = ClusteringType::kBest;
+ }
+ if (tier > SpeedTier::kTortoise) {
+ uint_method = HybridUintMethod::kNone;
+ }
+ if (tier >= SpeedTier::kSquirrel) {
+ ans_histogram_strategy = ANSHistogramStrategy::kApproximate;
+ }
+ }
+
+ ClusteringType clustering = ClusteringType::kBest;
+ HybridUintMethod uint_method = HybridUintMethod::kBest;
+ LZ77Method lz77_method = LZ77Method::kRLE;
+ ANSHistogramStrategy ans_histogram_strategy = ANSHistogramStrategy::kPrecise;
+ std::vector<size_t> image_widths;
+ size_t max_histograms = ~0;
+ bool force_huffman = false;
+};
+
+} // namespace jxl
+
+#endif // LIB_JXL_ENC_ANS_PARAMS_H_