def compress(inp, bitout):
initfreqs = [1] * 5
# initfreqs = [1] * 257
freqs = huffmancoding.FrequencyTable(initfreqs)
enc = huffmancoding.HuffmanEncoder(bitout)
enc.codetree = freqs.build_code_tree(
) # Don't need to make canonical code because we don't transmit the code tree
# exit()
count = 0 # Number of bytes read from the input file
while True:
# Read and encode one byte
symbol = inp.read(1)
if len(symbol) == 0:
break
symbol = symbol[0] if python3 else ord(symbol)
enc.write(symbol)
count += 1
# Update the frequency table and possibly the code tree
freqs.increment(symbol)
if (count < 262144 and is_power_of_2(count)
) or count % 262144 == 0: # Update code tree
enc.codetree = freqs.build_code_tree()
if count % 262144 == 0: # Reset frequency table
freqs = huffmancoding.FrequencyTable(initfreqs)
enc.write(256) # EOF
def compress(code_tree, quant_code, bit_out):
enc = huffmancoding.HuffmanEncoder(bit_out)
enc.codetree = code_tree
for q_c in quant_code:
enc.write(q_c)
enc.write(1024) # EOF
def compress(code, inp, bitout): enc = huffmancoding.HuffmanEncoder(bitout) enc.codetree = code while True: b = inp.read(1) if len(b) == 0: break enc.write(b[0] if python3 else ord(b)) enc.write(256) # EOF
def compress(code, inp, bitout, files_count):
enc = huffmancoding.HuffmanEncoder(bitout)
enc.codetree = code
for i in range(0, files_count):
while True:
b = inp[i].read(1)
if len(b) == 0:
break
enc.write(b[0])
enc.write(256) # EOF