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How to use _build_code method in lisa

Best Python code snippet using lisa_python

huffman_compression.py

Source:huffman_compression.py

...45        # build Huffman trie46        root = self._build_trie(freq)47        # build symbol table for chars and their binary representation48        st = dict()49        self._build_code(st, root, '')50        bw = BitWriter(output_file)51        # write the Huffman trie binary representation to the file52        self._write_trie(root, bw)53        # write number of bytes in original uncompressed message54        bw.writebits(length, 8)55        # use Huffman code to encode input56        for i in xrange(length):57            self.file.seek(i)58            code = st[ord(self.file.read(1))]59            for c in code:60                if c == '0':61                    bw.writebit(False)62                else:63                    bw.writebit(True)64                    # close the output file65        # output_file.close()66    def extract(self, output_file):67        """68        Restore the compressed data69        """70        br = BitReader(self.file)71        root = self._read_trie(br)72        # number of bytes to write73        length = int(br.readbits(8))74        bw = BitWriter(output_file)75        # decode using the Huffman trie76        for i in xrange(length):77            node = root78            while not node.is_leaf:79                bit = br.readbit()80                if bit:81                    node = node.right82                else:83                    node = node.left84            # write the character to output85            bw.writebits(node.char, 8)86        # output_file.close()87    def _read_trie(self, br):88        bit = br.readbit()89        if bit:90            # it is a leaf, so read the next 8 bits and create the leaf node91            return self.Node(int(br.readbits(8)), -1)92        else:93            # it is an intermediary node, recursively create left and right nodes94            return self.Node(0, -1, self._read_trie(br), self._read_trie(br))95    def _write_trie(self, node, bw):96        if node.is_leaf:97            # put "1" at the beginning of the leaf node char98            bw.writebit(True)99            # put node character in 8 bits representation100            bw.writebits(node.char, 8)101        else:102            # put "0" for the intermediary node (as a delimiter)103            bw.writebit(False)104            self._write_trie(node.left, bw)105            self._write_trie(node.right, bw)106    def _build_trie(self, frequency):107        """108        Build a binary trie and return its root node109        """110        nodes = PriorityQueue()111        for char, freq in frequency.iteritems():112            if freq > 0:113                nodes.put(self.Node(char, freq))114        # merge two smallest tries115        while nodes.qsize() > 1:116            left = nodes.get()117            right = nodes.get()118            parent = self.Node(0, left.frequency + right.frequency, left, right)119            nodes.put(parent)120        # return the root node121        return nodes.get()122    def _build_code(self, st, node, s):123        """124        Build a symbol table from a Huffman trie.125        Each key has a binary value.126        """127        if not node.is_leaf:128            self._build_code(st, node.left, s + '0')129            self._build_code(st, node.right, s + '1')130        else:131            st[node.char] = s132if __name__ == '__main__':133    from StringIO import StringIO134    original_file = StringIO('abracadabra!')135    h = Huffman(original_file)136    compressed_file = StringIO()137    h.compress(compressed_file)138    compressed_file.seek(0)139    h2 = Huffman(compressed_file)140    restored_file = StringIO()141    h2.extract(restored_file)142    restored_file.seek(0)143    assert restored_file.read() == 'abracadabra!'

huffman1.py

Source:huffman1.py

...14        return T[0] #]full15    16    def build_code(self, freq: "IMap<Symbol, Real>") -> "IMap<Symbol, str>":17        code = self.createMap()18        def _build_code(t, prefix):19            if len(t[0]) > 1:20                code[t[0][1]] = prefix21            else:22                _build_code(t[1], prefix + '0')23                _build_code(t[2], prefix + '1')24        tree = self.build_tree(freq)25        _build_code(tree, '')
...

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