def write_to_file(filename, packed_data, huffman_dict, step, min_value, length):
    with open(filename, "wb") as f:
        f.write(str(step).encode("utf-8") + b"\n")
        f.write(str(min_value).encode("utf-8") + b"\n")
        f.write(str(length).encode("utf-8") + b"\n")
        f.write(packed_data + b"\n")

        f.write("*".join([str(element) for element in list(huffman_dict.keys())]).encode("utf-8") + b"\n")
        f.write("*".join(list(huffman_dict.values())).encode("utf-8") + b"\n")

def read_from_file(filename):
    with open(filename, "rb") as f:
        lines = f.readlines()
        for i in lines:
            print(i.strip())
        step = float(lines[0].decode("utf-8").strip())
        min_value = float(lines[1].decode("utf-8").strip())
        length = int(lines[2].decode("utf-8").strip())
        packed_data = lines[3].strip()
        keys = lines[4].strip().decode("utf-8").split("*")
        values = lines[5].strip().decode("utf-8").split("*")
        huffman_dict = dict(zip(keys, values))

        for i in range(4, len(lines), 2):
            try:
                key = lines[i].strip().decode("utf-8")
            except UnicodeDecodeError:
                print("\nUnicodeDecodeError, Values\n")
                key = lines[i].strip().decode("utf-8", errors='ignore')
            #key = lines[i].strip()

            try:
                key = int(key)
            #except ValueError:
            except:
                pass

            try:
                value = lines[i+1].decode("utf-8").strip()
            except UnicodeDecodeError:
                print("\nUnicodeDecodeError, Values\n")
                value = lines[i+1].decode("utf-8", errors='ignore').strip()
            huffman_dict[key] = value

        lines = list(f)
        step = float(lines[0].decode("utf-8").strip())
        min_value = float(lines[1].decode("utf-8").strip())
        length = int(lines[2].decode("utf-8").strip())
        packed_data = lines[3].strip()
        huffman_dict = pickle.loads(lines[4].strip())
    return packed_data, huffman_dict, step, min_value, length