Code Example: Encode and Decode¶
In this example shows how to use the API of otacast to implement encoding
and decoding.
The example will walk through the basic functionality of
otacast.Encoder() and otacast.Decoder(), and discuss how to use them.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 | #!/usr/bin/env python
# encoding: utf-8
"""
In this example shows how to use the API of OTAcast to implement encoding and
decoding.
"""
# License for Commercial Usage
# Distributed under the "OTACAST EVALUATION LICENSE 1.3"
# Licensees holding a valid commercial license may use this project in
# accordance with the standard license agreement terms provided with the
# Software (see accompanying file LICENSE.rst or
# https://www.steinwurf.com/license), unless otherwise different terms and
# conditions are agreed in writing between Licensee and Steinwurf ApS in which
# case the license will be regulated by that separate written agreement.
# License for Non-Commercial Usage
# Distributed under the "OTACAST RESEARCH LICENSE 1.2"
# Licensees holding a valid research license may use this project in accordance
# with the license agreement terms provided with the Software
# See accompanying file LICENSE.rst or https://www.steinwurf.com/license
import otacast
import os
def main():
# Instantiate the encoder and decoder
encoder = otacast.Encoder()
decoder = otacast.Decoder()
# The size of the block determines the number of bytes that the encoder and
# decoder is working on. If you are encoding a file, the block bytes should
# be the file size in bytes.
block_bytes = 1024 * 10000 # 10 MB
# The symbol bytes determine the size of the produced symbols.
# In most cases it makes sense to make this value fit the MTU size of the
# network.
symbol_bytes = 1500
# The width manages a tradeoff between code
# effectiveness and computational complexity.
# A higher width causes higher code effectiveness, but also a higher memory
# footprint and computational complexity.
width = otacast.CodecWidth._8
# Configure the encoder and decoder
encoder.configure(width, block_bytes, symbol_bytes)
decoder.configure(width, block_bytes, symbol_bytes)
# Let's generate some random data to code
block_in = bytearray(os.urandom(block_bytes))
encoder.set_symbols_storage(block_in)
# Create some storage for the decoder to use
block_out = bytearray(decoder.block_bytes)
decoder.set_symbols_storage(block_out)
# This bytearray will contain the generated symbols.
symbol = bytearray(decoder.symbol_bytes)
# The seed can be anything, here it's basically a packet sequence number.
seed = 0
while not decoder.is_complete():
# Generate an encoded packet
offset = encoder.encode(symbol, seed)
# Decode the encoded packet
decoder.decode(symbol, seed, offset)
seed += 1
# Check if the decoding went as it should.
if block_in == block_out:
print("Decoding finished successfully!")
else:
print("Something went wrong!")
if __name__ == "__main__":
main()
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