const github.com/andybalholm/brotli.histogramsPerBatch
37 uses
github.com/andybalholm/brotli (current package)
block_splitter.go#L84: const histogramsPerBatch = 64
block_splitter_command.go#L194: var expected_num_clusters uint = clustersPerBatch * (num_blocks + histogramsPerBatch - 1) / histogramsPerBatch
block_splitter_command.go#L202: var histograms []histogramCommand = make([]histogramCommand, brotli_min_size_t(num_blocks, histogramsPerBatch))
block_splitter_command.go#L203: var max_num_pairs uint = histogramsPerBatch * histogramsPerBatch / 2
block_splitter_command.go#L211: var sizes = [histogramsPerBatch]uint32{0}
block_splitter_command.go#L212: var new_clusters = [histogramsPerBatch]uint32{0}
block_splitter_command.go#L213: var symbols = [histogramsPerBatch]uint32{0}
block_splitter_command.go#L214: var remap = [histogramsPerBatch]uint32{0}
block_splitter_command.go#L232: for i = 0; i < num_blocks; i += histogramsPerBatch {
block_splitter_command.go#L233: var num_to_combine uint = brotli_min_size_t(num_blocks-i, histogramsPerBatch)
block_splitter_command.go#L250: num_new_clusters = histogramCombineCommand(histograms, sizes[:], symbols[:], new_clusters[:], []histogramPair(pairs), num_to_combine, num_to_combine, histogramsPerBatch, max_num_pairs)
block_splitter_distance.go#L194: var expected_num_clusters uint = clustersPerBatch * (num_blocks + histogramsPerBatch - 1) / histogramsPerBatch
block_splitter_distance.go#L202: var histograms []histogramDistance = make([]histogramDistance, brotli_min_size_t(num_blocks, histogramsPerBatch))
block_splitter_distance.go#L203: var max_num_pairs uint = histogramsPerBatch * histogramsPerBatch / 2
block_splitter_distance.go#L211: var sizes = [histogramsPerBatch]uint32{0}
block_splitter_distance.go#L212: var new_clusters = [histogramsPerBatch]uint32{0}
block_splitter_distance.go#L213: var symbols = [histogramsPerBatch]uint32{0}
block_splitter_distance.go#L214: var remap = [histogramsPerBatch]uint32{0}
block_splitter_distance.go#L232: for i = 0; i < num_blocks; i += histogramsPerBatch {
block_splitter_distance.go#L233: var num_to_combine uint = brotli_min_size_t(num_blocks-i, histogramsPerBatch)
block_splitter_distance.go#L250: num_new_clusters = histogramCombineDistance(histograms, sizes[:], symbols[:], new_clusters[:], []histogramPair(pairs), num_to_combine, num_to_combine, histogramsPerBatch, max_num_pairs)
block_splitter_literal.go#L194: var expected_num_clusters uint = clustersPerBatch * (num_blocks + histogramsPerBatch - 1) / histogramsPerBatch
block_splitter_literal.go#L202: var histograms []histogramLiteral = make([]histogramLiteral, brotli_min_size_t(num_blocks, histogramsPerBatch))
block_splitter_literal.go#L203: var max_num_pairs uint = histogramsPerBatch * histogramsPerBatch / 2
block_splitter_literal.go#L211: var sizes = [histogramsPerBatch]uint32{0}
block_splitter_literal.go#L212: var new_clusters = [histogramsPerBatch]uint32{0}
block_splitter_literal.go#L213: var symbols = [histogramsPerBatch]uint32{0}
block_splitter_literal.go#L214: var remap = [histogramsPerBatch]uint32{0}
block_splitter_literal.go#L232: for i = 0; i < num_blocks; i += histogramsPerBatch {
block_splitter_literal.go#L233: var num_to_combine uint = brotli_min_size_t(num_blocks-i, histogramsPerBatch)
block_splitter_literal.go#L250: num_new_clusters = histogramCombineLiteral(histograms, sizes[:], symbols[:], new_clusters[:], []histogramPair(pairs), num_to_combine, num_to_combine, histogramsPerBatch, max_num_pairs)
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