/////////////////////////////////////////////////////////////////////// // File: indexmapbidi.cpp // Description: Bi-directional mapping between a sparse and compact space. // Author: rays@google.com (Ray Smith) // Created: Tue Apr 06 11:33:59 PDT 2010 // // (C) Copyright 2010, Google Inc. // 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. // /////////////////////////////////////////////////////////////////////// #include "indexmapbidi.h" namespace tesseract { // SparseToCompact takes a sparse index to an index in the compact space. // Uses a binary search to find the result. For faster speed use // IndexMapBiDi, but that takes more memory. int IndexMap::SparseToCompact(int sparse_index) const { int result = compact_map_.binary_search(sparse_index); return compact_map_[result] == sparse_index ? result : -1; } // Copy from the input. void IndexMap::CopyFrom(const IndexMap& src) { sparse_size_ = src.sparse_size_; compact_map_ = src.compact_map_; } void IndexMap::CopyFrom(const IndexMapBiDi& src) { sparse_size_ = src.SparseSize(); compact_map_ = src.compact_map_; } // Writes to the given file. Returns false in case of error. bool IndexMap::Serialize(FILE* fp) const { int32_t sparse_size = sparse_size_; if (fwrite(&sparse_size, sizeof(sparse_size), 1, fp) != 1) return false; if (!compact_map_.Serialize(fp)) return false; return true; } // Reads from the given file. Returns false in case of error. // If swap is true, assumes a big/little-endian swap is needed. bool IndexMap::DeSerialize(bool swap, FILE* fp) { int32_t sparse_size; if (fread(&sparse_size, sizeof(sparse_size), 1, fp) != 1) return false; if (swap) ReverseN(&sparse_size, sizeof(sparse_size)); sparse_size_ = sparse_size; if (!compact_map_.DeSerialize(swap, fp)) return false; return true; } // Top-level init function in a single call to initialize a map to select // a single contiguous subrange [start, end) of the sparse space to be mapped // 1 to 1 to the compact space, with all other elements of the sparse space // left unmapped. // No need to call Setup after this. void IndexMapBiDi::InitAndSetupRange(int sparse_size, int start, int end) { Init(sparse_size, false); for (int i = start; i < end; ++i) SetMap(i, true); Setup(); } // Initializes just the sparse_map_ to the given size with either all // forward indices mapped (all_mapped = true) or none (all_mapped = false). // Call Setup immediately after, or make calls to SetMap first to adjust the // mapping and then call Setup before using the map. void IndexMapBiDi::Init(int size, bool all_mapped) { sparse_map_.init_to_size(size, -1); if (all_mapped) { for (int i = 0; i < size; ++i) sparse_map_[i] = i; } } // Sets a given index in the sparse_map_ to be mapped or not. void IndexMapBiDi::SetMap(int sparse_index, bool mapped) { sparse_map_[sparse_index] = mapped ? 0 : -1; } // Sets up the sparse_map_ and compact_map_ properly after Init and // some calls to SetMap. Assumes an ordered 1-1 map from set indices // in the forward map to the compact space. void IndexMapBiDi::Setup() { int compact_size = 0; for (int i = 0; i < sparse_map_.size(); ++i) { if (sparse_map_[i] >= 0) { sparse_map_[i] = compact_size++; } } compact_map_.init_to_size(compact_size, -1); for (int i = 0; i < sparse_map_.size(); ++i) { if (sparse_map_[i] >= 0) { compact_map_[sparse_map_[i]] = i; } } sparse_size_ = sparse_map_.size(); } // Copy from the input. void IndexMapBiDi::CopyFrom(const IndexMapBiDi& src) { sparse_map_ = src.sparse_map_; compact_map_ = src.compact_map_; sparse_size_ = sparse_map_.size(); } // Merges the two compact space indices. May be called many times, but // the merges must be concluded by a call to CompleteMerges. // Returns true if a merge was actually performed. bool IndexMapBiDi::Merge(int compact_index1, int compact_index2) { // Find the current master index for index1 and index2. compact_index1 = MasterCompactIndex(compact_index1); compact_index2 = MasterCompactIndex(compact_index2); // Be sure that index1 < index2. if (compact_index1 > compact_index2) { int tmp = compact_index1; compact_index1 = compact_index2; compact_index2 = tmp; } else if (compact_index1 == compact_index2) { return false; } // To save iterating over all sparse_map_ entries, simply make the master // entry for index2 point to index1. // This leaves behind a potential chain of parents that needs to be chased, // as above. sparse_map_[compact_map_[compact_index2]] = compact_index1; if (compact_index1 >= 0) compact_map_[compact_index2] = compact_map_[compact_index1]; return true; } // Completes one or more Merge operations by further compacting the // compact space. Unused compact space indices are removed, and the used // ones above shuffled down to fill the gaps. // Example: // Input sparse_map_: (x indicates -1) // x x 0 x 2 x x 4 x 0 x 2 x // Output sparse_map_: // x x 0 x 1 x x 2 x 0 x 1 x // Output compact_map_: // 2 4 7. void IndexMapBiDi::CompleteMerges() { // Ensure each sparse_map_entry contains a master compact_map_ index. int compact_size = 0; for (int i = 0; i < sparse_map_.size(); ++i) { int compact_index = MasterCompactIndex(sparse_map_[i]); sparse_map_[i] = compact_index; if (compact_index >= compact_size) compact_size = compact_index + 1; } // Re-generate the compact_map leaving holes for unused indices. compact_map_.init_to_size(compact_size, -1); for (int i = 0; i < sparse_map_.size(); ++i) { if (sparse_map_[i] >= 0) { if (compact_map_[sparse_map_[i]] == -1) compact_map_[sparse_map_[i]] = i; } } // Compact the compact_map, leaving tmp_compact_map saying where each // index went to in the compacted map. GenericVector tmp_compact_map; tmp_compact_map.init_to_size(compact_size, -1); compact_size = 0; for (int i = 0; i < compact_map_.size(); ++i) { if (compact_map_[i] >= 0) { tmp_compact_map[i] = compact_size; compact_map_[compact_size++] = compact_map_[i]; } } compact_map_.truncate(compact_size); // Now modify the entries in the sparse map to point to the new locations. for (int i = 0; i < sparse_map_.size(); ++i) { if (sparse_map_[i] >= 0) { sparse_map_[i] = tmp_compact_map[sparse_map_[i]]; } } } // Writes to the given file. Returns false in case of error. bool IndexMapBiDi::Serialize(FILE* fp) const { if (!IndexMap::Serialize(fp)) return false; // Make a vector containing the rest of the map. If the map is many-to-one // then each additional sparse entry needs to be stored. // Normally we store only the compact map to save space. GenericVector remaining_pairs; for (int i = 0; i < sparse_map_.size(); ++i) { if (sparse_map_[i] >= 0 && compact_map_[sparse_map_[i]] != i) { remaining_pairs.push_back(i); remaining_pairs.push_back(sparse_map_[i]); } } if (!remaining_pairs.Serialize(fp)) return false; return true; } // Reads from the given file. Returns false in case of error. // If swap is true, assumes a big/little-endian swap is needed. bool IndexMapBiDi::DeSerialize(bool swap, FILE* fp) { if (!IndexMap::DeSerialize(swap, fp)) return false; GenericVector remaining_pairs; if (!remaining_pairs.DeSerialize(swap, fp)) return false; sparse_map_.init_to_size(sparse_size_, -1); for (int i = 0; i < compact_map_.size(); ++i) { sparse_map_[compact_map_[i]] = i; } for (int i = 0; i < remaining_pairs.size(); ++i) { int sparse_index = remaining_pairs[i++]; sparse_map_[sparse_index] = remaining_pairs[i]; } return true; } // Bulk calls to SparseToCompact. // Maps the given array of sparse indices to an array of compact indices. // Assumes the input is sorted. The output indices are sorted and uniqued. // Return value is the number of "missed" features, being features that // don't map to the compact feature space. int IndexMapBiDi::MapFeatures(const GenericVector& sparse, GenericVector* compact) const { compact->truncate(0); int num_features = sparse.size(); int missed_features = 0; int prev_good_feature = -1; for (int f = 0; f < num_features; ++f) { int feature = sparse_map_[sparse[f]]; if (feature >= 0) { if (feature != prev_good_feature) { compact->push_back(feature); prev_good_feature = feature; } } else { ++missed_features; } } return missed_features; } } // namespace tesseract.