def main():
h = HuffmanCoding()
c = Convolutional()
input = "negarmirgati"
print('input', input)
hEncoded = h.encode(input)
print('huffman coded', hEncoded)
cEncoded = c.encode(hEncoded)
print('Convolutional encoded', cEncoded)
inputWithNoise = noise(cEncoded)
print('noise added', inputWithNoise)
cDecoded = c.decode(inputWithNoise)
print('convolutional decode', cDecoded)
hDecoded = h.decode(cDecoded)
print('huffman decode', hDecoded)
def executeHuffman(original_file, complexity):
# HUFFMAN CODE
# ORIGINAL SIZE, COMPRESSED SIZE, DURATION, COMPLEXITY
huffman_compressed = complexity + "_huffman_compressed.bin"
hc = HuffmanCoding(original_file)
start_compressing = time.time()
hc.compress()
print("Huffman compression for", complexity, "successful")
end_compressing = time.time()
compressed_size = getSize(huffman_compressed)
start_decompressing = time.time()
hc.decompress(huffman_compressed)
print("Huffman decompression for", complexity, "successful")
end_decompressing = time.time()
original_size = getSize(original_file)
efficiency = (original_size - compressed_size) / original_size * 100
decompressed_size = original_size
algorithm = "Huffman"
compression_duration = end_compressing - start_compressing
decompression_duration = end_decompressing - start_decompressing
if compression_duration != 0:
angle = math.degrees(
math.atan((original_size - compressed_size) /
(compression_duration * 1000)))
else:
angle = 90
data = myData(algorithm, complexity, original_size, compressed_size,
compression_duration, decompressed_size,
decompression_duration, efficiency, angle)
data_arr.append(data)
def compress(path, fun):
h = HuffmanCoding()
h.compress(path, fun)
def decompress(path, fun):
h = HuffmanCoding()
h.decompress(path, fun)
from Huffman import HuffmanCoding
import os, time
start_time = time.time()
path = "sample1.txt"
h = HuffmanCoding(path)
print("Before Huffman Compression the file size is", os.stat(path).st_size, "bytes")
output_path = h.compress()
print("After Huffman Compression the file size is", os.stat(output_path).st_size, "bytes")
try:
print("Compression Ratio is", os.stat(path).st_size/os.stat(output_path).st_size)
except:
print("Compression Ratio is undefined, output size is 0 bytes.")
print("This program took", time.time() - start_time, "to compress.\n")
start_time = time.time()
h.decompress(output_path) #Just used to decompress the file
print("This program took", time.time() - start_time, "to decompress.")
from Huffman import HuffmanCoding #input file path path = "D:/Nguyen Thai Son/Freshman/Infor/lab 6/Lab_06/text1.txt" # D:/Nguyen Thai Son/Freshman/Infor/lab 6/Lab_06/text1.txt h = HuffmanCoding(path) output_path = h.compress() h.decompress(output_path)
from Huffman import HuffmanCoding
from time import time
from memory_profiler import profile
path = "Proyecto/Código/Sin pérdida/Ensayo/00000004_66324407_ver1.csv"
image = HuffmanCoding(path)
inicio1 = time()
compressed = image.compress(path)
fin1 = time()
total1 = fin1 - inicio1
print("Compressed:", total1)
'''inicio2 = time()
decompressed = image.decompress(compressed)
fin2 = time()
total2 = fin2-inicio2
print("Decompressed:", total2) '''
#image.showImage(decompressed)