github.com/andybalholm/brotli.histogramLiteral.data_ (field)

26 uses

	github.com/andybalholm/brotli (current package)
		bit_cost.go#L56: 		if histogram.data_[i] > 0 {
		bit_cost.go#L74: 		var histo0 uint32 = histogram.data_[s[0]]
		bit_cost.go#L75: 		var histo1 uint32 = histogram.data_[s[1]]
		bit_cost.go#L76: 		var histo2 uint32 = histogram.data_[s[2]]
		bit_cost.go#L86: 			histo[i] = histogram.data_[s[i]]
		bit_cost.go#L114: 			if histogram.data_[i] > 0 {
		bit_cost.go#L115: 				var log2p float64 = log2total - fastLog2(uint(histogram.data_[i]))
		bit_cost.go#L121: 				bits += float64(histogram.data_[i]) * log2p
		bit_cost.go#L139: 				for k = i + 1; k < data_size && histogram.data_[k] == 0; k++ {
		block_splitter_literal.go#L82: 			insert_cost[i*num_histograms+j] = insert_cost[j] - bitCost(uint(histograms[j].data_[i]))
		brotli_bit_stream.go#L1222: 			buildAndStoreHuffmanTree(histograms[i].data_[0:], self.histogram_length_, alphabet_size, tree, self.depths_[ix:], self.bits_[ix:], storage_ix, storage)
		brotli_bit_stream.go#L1435: 	buildAndStoreHuffmanTree(lit_histo.data_[:], numLiteralSymbols, numLiteralSymbols, tree, lit_depth[:], lit_bits[:], storage_ix, storage)
		brotli_bit_stream.go#L1490: 		buildAndStoreHuffmanTreeFast(lit_histo.data_[:], lit_histo.total_count_, /* max_bits = */
		histogram.go#L9: 	data_        [numLiteralSymbols]uint32
		histogram.go#L15: 	self.data_ = [numLiteralSymbols]uint32{}
		histogram.go#L28: 	self.data_[val]++
		histogram.go#L40: 		self.data_[p[0]]++
		histogram.go#L49: 		self.data_[i] += v.data_[i]
		metablock.go#L354: 			last_entropy[i] = bitsEntropy(histograms[i].data_[:], self.alphabet_size_)
		metablock.go#L380: 			entropy[i] = bitsEntropy(histograms[curr_histo_ix].data_[:], self.alphabet_size_)
		metablock.go#L386: 				combined_entropy[jx] = bitsEntropy(combined_histo[jx].data_[0:], self.alphabet_size_)
		metablock.go#L564: 		optimizeHuffmanCountsForRLE(256, mb.literal_histograms[i].data_[:], good_for_rle[:])
		metablock_literal.go#L75: 		last_entropy[0] = bitsEntropy(histograms[0].data_[:], self.alphabet_size_)
		metablock_literal.go#L85: 		var entropy float64 = bitsEntropy(histograms[self.curr_histogram_ix_].data_[:], self.alphabet_size_)
		metablock_literal.go#L94: 			combined_entropy[j] = bitsEntropy(combined_histo[j].data_[0:], self.alphabet_size_)