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diff --git a/extern/draco/dracoenc/src/draco/compression/entropy/rans_symbol_encoder.h b/extern/draco/dracoenc/src/draco/compression/entropy/rans_symbol_encoder.h
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+// Copyright 2016 The Draco Authors.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
+#ifndef DRACO_COMPRESSION_ENTROPY_RANS_SYMBOL_ENCODER_H_
+#define DRACO_COMPRESSION_ENTROPY_RANS_SYMBOL_ENCODER_H_
+
+#include <algorithm>
+#include <cmath>
+#include <cstring>
+
+#include "draco/compression/entropy/ans.h"
+#include "draco/compression/entropy/rans_symbol_coding.h"
+#include "draco/core/encoder_buffer.h"
+#include "draco/core/varint_encoding.h"
+
+namespace draco {
+
+// A helper class for encoding symbols using the rANS algorithm (see ans.h).
+// The class can be used to initialize and encode probability table needed by
+// rANS, and to perform encoding of symbols into the provided EncoderBuffer.
+template <int unique_symbols_bit_length_t>
+class RAnsSymbolEncoder {
+ public:
+ RAnsSymbolEncoder()
+ : num_symbols_(0), num_expected_bits_(0), buffer_offset_(0) {}
+
+ // Creates a probability table needed by the rANS library and encode it into
+ // the provided buffer.
+ bool Create(const uint64_t *frequencies, int num_symbols,
+ EncoderBuffer *buffer);
+
+ void StartEncoding(EncoderBuffer *buffer);
+ void EncodeSymbol(uint32_t symbol) {
+ ans_.rans_write(&probability_table_[symbol]);
+ }
+ void EndEncoding(EncoderBuffer *buffer);
+
+ // rANS requires to encode the input symbols in the reverse order.
+ static constexpr bool needs_reverse_encoding() { return true; }
+
+ private:
+ // Functor used for sorting symbol ids according to their probabilities.
+ // The functor sorts symbol indices that index an underlying map between
+ // symbol ids and their probabilities. We don't sort the probability table
+ // directly, because that would require an additional indirection during the
+ // EncodeSymbol() function.
+ struct ProbabilityLess {
+ explicit ProbabilityLess(const std::vector<rans_sym> *probs)
+ : probabilities(probs) {}
+ bool operator()(int i, int j) const {
+ return probabilities->at(i).prob < probabilities->at(j).prob;
+ }
+ const std::vector<rans_sym> *probabilities;
+ };
+
+ // Encodes the probability table into the output buffer.
+ bool EncodeTable(EncoderBuffer *buffer);
+
+ static constexpr int rans_precision_bits_ =
+ ComputeRAnsPrecisionFromUniqueSymbolsBitLength(
+ unique_symbols_bit_length_t);
+ static constexpr int rans_precision_ = 1 << rans_precision_bits_;
+
+ std::vector<rans_sym> probability_table_;
+ // The number of symbols in the input alphabet.
+ uint32_t num_symbols_;
+ // Expected number of bits that is needed to encode the input.
+ uint64_t num_expected_bits_;
+
+ RAnsEncoder<rans_precision_bits_> ans_;
+ // Initial offset of the encoder buffer before any ans data was encoded.
+ uint64_t buffer_offset_;
+};
+
+template <int unique_symbols_bit_length_t>
+bool RAnsSymbolEncoder<unique_symbols_bit_length_t>::Create(
+ const uint64_t *frequencies, int num_symbols, EncoderBuffer *buffer) {
+ // Compute the total of the input frequencies.
+ uint64_t total_freq = 0;
+ int max_valid_symbol = 0;
+ for (int i = 0; i < num_symbols; ++i) {
+ total_freq += frequencies[i];
+ if (frequencies[i] > 0)
+ max_valid_symbol = i;
+ }
+ num_symbols = max_valid_symbol + 1;
+ num_symbols_ = num_symbols;
+ probability_table_.resize(num_symbols);
+ const double total_freq_d = static_cast<double>(total_freq);
+ const double rans_precision_d = static_cast<double>(rans_precision_);
+ // Compute probabilities by rescaling the normalized frequencies into interval
+ // [1, rans_precision - 1]. The total probability needs to be equal to
+ // rans_precision.
+ int total_rans_prob = 0;
+ for (int i = 0; i < num_symbols; ++i) {
+ const uint64_t freq = frequencies[i];
+
+ // Normalized probability.
+ const double prob = static_cast<double>(freq) / total_freq_d;
+
+ // RAns probability in range of [1, rans_precision - 1].
+ uint32_t rans_prob = static_cast<uint32_t>(prob * rans_precision_d + 0.5f);
+ if (rans_prob == 0 && freq > 0)
+ rans_prob = 1;
+ probability_table_[i].prob = rans_prob;
+ total_rans_prob += rans_prob;
+ }
+ // Because of rounding errors, the total precision may not be exactly accurate
+ // and we may need to adjust the entries a little bit.
+ if (total_rans_prob != rans_precision_) {
+ std::vector<int> sorted_probabilities(num_symbols);
+ for (int i = 0; i < num_symbols; ++i) {
+ sorted_probabilities[i] = i;
+ }
+ std::sort(sorted_probabilities.begin(), sorted_probabilities.end(),
+ ProbabilityLess(&probability_table_));
+ if (total_rans_prob < rans_precision_) {
+ // This happens rather infrequently, just add the extra needed precision
+ // to the most frequent symbol.
+ probability_table_[sorted_probabilities.back()].prob +=
+ rans_precision_ - total_rans_prob;
+ } else {
+ // We have over-allocated the precision, which is quite common.
+ // Rescale the probabilities of all symbols.
+ int32_t error = total_rans_prob - rans_precision_;
+ while (error > 0) {
+ const double act_total_prob_d = static_cast<double>(total_rans_prob);
+ const double act_rel_error_d = rans_precision_d / act_total_prob_d;
+ for (int j = num_symbols - 1; j > 0; --j) {
+ int symbol_id = sorted_probabilities[j];
+ if (probability_table_[symbol_id].prob <= 1) {
+ if (j == num_symbols - 1)
+ return false; // Most frequent symbol would be empty.
+ break;
+ }
+ const int32_t new_prob = static_cast<int32_t>(
+ floor(act_rel_error_d *
+ static_cast<double>(probability_table_[symbol_id].prob)));
+ int32_t fix = probability_table_[symbol_id].prob - new_prob;
+ if (fix == 0u)
+ fix = 1;
+ if (fix >= static_cast<int32_t>(probability_table_[symbol_id].prob))
+ fix = probability_table_[symbol_id].prob - 1;
+ if (fix > error)
+ fix = error;
+ probability_table_[symbol_id].prob -= fix;
+ total_rans_prob -= fix;
+ error -= fix;
+ if (total_rans_prob == rans_precision_)
+ break;
+ }
+ }
+ }
+ }
+
+ // Compute the cumulative probability (cdf).
+ uint32_t total_prob = 0;
+ for (int i = 0; i < num_symbols; ++i) {
+ probability_table_[i].cum_prob = total_prob;
+ total_prob += probability_table_[i].prob;
+ }
+ if (total_prob != rans_precision_)
+ return false;
+
+ // Estimate the number of bits needed to encode the input.
+ // From Shannon entropy the total number of bits N is:
+ // N = -sum{i : all_symbols}(F(i) * log2(P(i)))
+ // where P(i) is the normalized probability of symbol i and F(i) is the
+ // symbol's frequency in the input data.
+ double num_bits = 0;
+ for (int i = 0; i < num_symbols; ++i) {
+ if (probability_table_[i].prob == 0)
+ continue;
+ const double norm_prob =
+ static_cast<double>(probability_table_[i].prob) / rans_precision_d;
+ num_bits += static_cast<double>(frequencies[i]) * log2(norm_prob);
+ }
+ num_expected_bits_ = static_cast<uint64_t>(ceil(-num_bits));
+ if (!EncodeTable(buffer))
+ return false;
+ return true;
+}
+
+template <int unique_symbols_bit_length_t>
+bool RAnsSymbolEncoder<unique_symbols_bit_length_t>::EncodeTable(
+ EncoderBuffer *buffer) {
+ EncodeVarint(num_symbols_, buffer);
+ // Use varint encoding for the probabilities (first two bits represent the
+ // number of bytes used - 1).
+ for (uint32_t i = 0; i < num_symbols_; ++i) {
+ const uint32_t prob = probability_table_[i].prob;
+ int num_extra_bytes = 0;
+ if (prob >= (1 << 6)) {
+ num_extra_bytes++;
+ if (prob >= (1 << 14)) {
+ num_extra_bytes++;
+ if (prob >= (1 << 22)) {
+ // The maximum number of precision bits is 20 so we should not really
+ // get to this point.
+ return false;
+ }
+ }
+ }
+ if (prob == 0) {
+ // When the probability of the symbol is 0, set the first two bits to 1
+ // (unique identifier) and use the remaining 6 bits to store the offset
+ // to the next symbol with non-zero probability.
+ uint32_t offset = 0;
+ for (; offset < (1 << 6) - 1; ++offset) {
+ // Note: we don't have to check whether the next symbol id is larger
+ // than num_symbols_ because we know that the last symbol always has
+ // non-zero probability.
+ const uint32_t next_prob = probability_table_[i + offset + 1].prob;
+ if (next_prob > 0) {
+ break;
+ }
+ }
+ buffer->Encode(static_cast<uint8_t>((offset << 2) | 3));
+ i += offset;
+ } else {
+ // Encode the first byte (including the number of extra bytes).
+ buffer->Encode(static_cast<uint8_t>((prob << 2) | (num_extra_bytes & 3)));
+ // Encode the extra bytes.
+ for (int b = 0; b < num_extra_bytes; ++b) {
+ buffer->Encode(static_cast<uint8_t>(prob >> (8 * (b + 1) - 2)));
+ }
+ }
+ }
+ return true;
+}
+
+template <int unique_symbols_bit_length_t>
+void RAnsSymbolEncoder<unique_symbols_bit_length_t>::StartEncoding(
+ EncoderBuffer *buffer) {
+ // Allocate extra storage just in case.
+ const uint64_t required_bits = 2 * num_expected_bits_ + 32;
+
+ buffer_offset_ = buffer->size();
+ const int64_t required_bytes = (required_bits + 7) / 8;
+ buffer->Resize(buffer_offset_ + required_bytes + sizeof(buffer_offset_));
+ uint8_t *const data =
+ reinterpret_cast<uint8_t *>(const_cast<char *>(buffer->data()));
+ ans_.write_init(data + buffer_offset_);
+}
+
+template <int unique_symbols_bit_length_t>
+void RAnsSymbolEncoder<unique_symbols_bit_length_t>::EndEncoding(
+ EncoderBuffer *buffer) {
+ char *const src = const_cast<char *>(buffer->data()) + buffer_offset_;
+
+ // TODO(fgalligan): Look into changing this to uint32_t as write_end()
+ // returns an int.
+ const uint64_t bytes_written = static_cast<uint64_t>(ans_.write_end());
+ EncoderBuffer var_size_buffer;
+ EncodeVarint(bytes_written, &var_size_buffer);
+ const uint32_t size_len = static_cast<uint32_t>(var_size_buffer.size());
+ char *const dst = src + size_len;
+ memmove(dst, src, bytes_written);
+
+ // Store the size of the encoded data.
+ memcpy(src, var_size_buffer.data(), size_len);
+
+ // Resize the buffer to match the number of encoded bytes.
+ buffer->Resize(buffer_offset_ + bytes_written + size_len);
+}
+
+} // namespace draco
+
+#endif // DRACO_COMPRESSION_ENTROPY_RANS_SYMBOL_ENCODER_H_