Exemplo n.º 1
0
 // Construct one Huffman tree and assigns the code bit strings and lengths.
 // Update the total bit length for the current block.
 // IN assertion: the field freq is set for all tree elements.
 // OUT assertions: the fields len and code are set to the optimal bit length
 //     and corresponding code. The length opt_len is updated; static_len is
 //     also updated if stree is not null. The field max_code is set.
 internal void  build_tree(DeflateManager s)
 {
     short[] tree  = dyn_tree;
     short[] stree = staticTree.treeCodes;
     int elems     = staticTree.elems;
     int n, m;            // iterate over heap elements
     int max_code  = -1;  // largest code with non zero frequency
     int node;            // new node being created
                 
     // Construct the initial heap, with least frequent element in
     // heap[1]. The sons of heap[n] are heap[2*n] and heap[2*n+1].
     // heap[0] is not used.
     s.heap_len = 0;
     s.heap_max = HEAP_SIZE;
                 
     for (n = 0; n < elems; n++)
     {
         if (tree[n * 2] != 0)
         {
             s.heap[++s.heap_len] = max_code = n;
             s.depth[n] = 0;
         }
         else
         {
             tree[n * 2 + 1] = 0;
         }
     }
                 
     // The pkzip format requires that at least one distance code exists,
     // and that at least one bit should be sent even if there is only one
     // possible code. So to avoid special checks later on we force at least
     // two codes of non zero frequency.
     while (s.heap_len < 2)
     {
         node = s.heap[++s.heap_len] = (max_code < 2?++max_code:0);
         tree[node * 2] = 1;
         s.depth[node] = 0;
         s.opt_len--;
         if (stree != null)
             s.static_len -= stree[node * 2 + 1];
         // node is 0 or 1 so it does not have extra bits
     }
     this.max_code = max_code;
                 
     // The elements heap[heap_len/2+1 .. heap_len] are leaves of the tree,
     // establish sub-heaps of increasing lengths:
                 
     for (n = s.heap_len / 2; n >= 1; n--)
         s.pqdownheap(tree, n);
                 
     // Construct the Huffman tree by repeatedly combining the least two
     // frequent nodes.
                 
     node = elems; // next internal node of the tree
     do 
     {
         // n = node of least frequency
         n = s.heap[1];
         s.heap[1] = s.heap[s.heap_len--];
         s.pqdownheap(tree, 1);
         m = s.heap[1]; // m = node of next least frequency
                         
         s.heap[--s.heap_max] = n; // keep the nodes sorted by frequency
         s.heap[--s.heap_max] = m;
                         
         // Create a new node father of n and m
         tree[node * 2] = unchecked((short) (tree[n * 2] + tree[m * 2]));
         s.depth[node] = (sbyte) (System.Math.Max((byte) s.depth[n], (byte) s.depth[m]) + 1);
         tree[n * 2 + 1] = tree[m * 2 + 1] = (short) node;
                         
         // and insert the new node in the heap
         s.heap[1] = node++;
         s.pqdownheap(tree, 1);
     }
     while (s.heap_len >= 2);
                 
     s.heap[--s.heap_max] = s.heap[1];
                 
     // At this point, the fields freq and dad are set. We can now
     // generate the bit lengths.
                 
     gen_bitlen(s);
                 
     // The field len is now set, we can generate the bit codes
     gen_codes(tree, max_code, s.bl_count);
 }