def get_dkg_setup_commands(s3manager, instance_ids): from honeybadgermpc.preprocessing import PreProcessedElements from honeybadgermpc.preprocessing import PreProcessingConstants as Constants n, t = AwsConfig.TOTAL_VM_COUNT, AwsConfig.MPC_CONFIG.T logging.info("Starting to create preprocessing files.") stime = time() pp_elements = PreProcessedElements() pp_elements.generate_triples(600, n, t) pp_elements.generate_rands(600, n, t) logging.info(f"Preprocessing files created in {time()-stime}") setup_commands = [] total_time = 0 logging.info(f"Uploading input files to AWS S3.") stime = time() triple_urls = s3manager.upload_files( [build_file_name_triple(n, t, i) for i in range(n)]) input_urls = s3manager.upload_files( [build_file_name_rand(n, t, i) for i in range(n)]) logging.info(f"Inputs successfully uploaded in {time()-stime} seconds.") setup_commands = [[ instance_id, [ "sudo docker pull %s" % (AwsConfig.DOCKER_IMAGE_PATH), "mkdir -p sharedata", "cd sharedata; curl -sSO %s" % (triple_urls[i]), "cd sharedata; curl -sSO %s" % (input_urls[i]), "mkdir -p benchmark-logs", ], ] for i, instance_id in enumerate(instance_ids)] return setup_commands
def get_ipc_setup_commands(s3manager, instance_ids): from honeybadgermpc.preprocessing import PreProcessedElements from honeybadgermpc.preprocessing import PreProcessingConstants as Constants n, t = AwsConfig.TOTAL_VM_COUNT, AwsConfig.MPC_CONFIG.T num_triples = AwsConfig.MPC_CONFIG.NUM_TRIPLES pp_elements = PreProcessedElements() pp_elements.generate_zeros(num_triples, n, t) pp_elements.generate_triples(num_triples, n, t) triple_urls = s3manager.upload_files([ pp_elements.mixins[Constants.TRIPLES]._build_file_name(n, t, i) for i in range(n) ]) zero_urls = s3manager.upload_files([ pp_elements.mixins[Constants.ZEROS]._build_file_name(n, t, i) for i in range(n) ]) setup_commands = [[ instance_id, [ "sudo docker pull %s" % (AwsConfig.DOCKER_IMAGE_PATH), "mkdir -p sharedata", "cd sharedata; curl -sSO %s" % (triple_urls[i]), "cd sharedata; curl -sSO %s" % (zero_urls[i]), "mkdir -p benchmark-logs", ], ] for i, instance_id in enumerate(instance_ids)] return setup_commands
async def test_open_future_shares(): n, t = 4, 1 pp_elements = PreProcessedElements() pp_elements.generate_rands(1000, n, t) pp_elements.generate_triples(1000, n, t) async def _prog(context): e1_, e2_ = [context.preproc.get_rand(context) for _ in range(2)] e1, e2 = await asyncio.gather(*[e1_.open(), e2_.open()], return_exceptions=True) s_prod_f = e1_ * e2_ s_prod_f2 = s_prod_f * e1_ final_prod = s_prod_f2 + e1_ + e2_ final_prod_2 = final_prod * e1_ wrapped_final_prod_2 = context.Share(final_prod_2.open()) assert await s_prod_f2.open() == e1 * e1 * e2 assert await final_prod.open() == e1 * e1 * e2 + e1 + e2 assert await final_prod_2.open() == (e1 * e1 * e2 + e1 + e2) * e1 assert await wrapped_final_prod_2.open() == await final_prod_2.open() program_runner = TaskProgramRunner( n, t, {MixinConstants.MultiplyShare: BeaverMultiply()}) program_runner.add(_prog) await program_runner.join()
async def test_butterfly_network(): n, t, k, delta = 3, 1, 32, -9999 pp_elements = PreProcessedElements() pp_elements.generate_rands(1000, n, t) pp_elements.generate_one_minus_ones(1000, n, t) pp_elements.generate_triples(1500, n, t) async def verify_output(ctx, **kwargs): k, delta = kwargs["k"], kwargs["delta"] inputs = [ctx.preproc.get_rand(ctx) for _ in range(k)] sorted_input = sorted( await ctx.ShareArray(inputs).open(), key=lambda x: x.value ) share_arr = await butterfly.butterfly_network_helper( ctx, k=k, delta=delta, inputs=inputs ) outputs = await share_arr.open() assert len(sorted_input) == len(outputs) sorted_output = sorted(outputs, key=lambda x: x.value) for i, j in zip(sorted_input, sorted_output): assert i == j program_runner = TaskProgramRunner( n, t, {MixinConstants.MultiplyShareArray: BeaverMultiplyArrays()} ) program_runner.add(verify_output, k=k, delta=delta) await program_runner.join()
async def tutorial_fixedpoint(): n, t = 4, 1 pp = FakePreProcessedElements() pp.generate_zeros(100, n, t) pp.generate_triples(1000, n, t) pp.generate_bits(1000, n, t) program_runner = TaskProgramRunner(n, t, config) program_runner.add(_prog) results = await program_runner.join() return results
async def tutorial_1(): # Create a test network of 4 nodes (no sockets, just asyncio tasks) n, t = 4, 1 pp = FakePreProcessedElements() pp.generate_zeros(100, n, t) pp.generate_triples(100, n, t) pp.generate_bits(100, n, t) program_runner = TaskProgramRunner(n, t, config) program_runner.add(prog) results = await program_runner.join() return results
async def prog(): n, t = 4, 1 pp = FakePreProcessedElements() pp.generate_zeros(1000, n, t) pp.generate_triples(120000, n, t) pp.generate_share_bits(1000, n, t) pp.generate_bits(3000, n, t) pp.generate_rands(10000, n, t) program_runner = TaskProgramRunner(n, t, config) program_runner.add(laesa_test_1) results = await program_runner.join() return results
async def test_get_triple(): n, t = 4, 1 num_triples = 2 pp_elements = PreProcessedElements() pp_elements.generate_triples(1000, n, t) async def _prog(ctx): for _ in range(num_triples): a_sh, b_sh, ab_sh = ctx.preproc.get_triples(ctx) a, b, ab = await a_sh.open(), await b_sh.open(), await ab_sh.open() assert a * b == ab program_runner = TaskProgramRunner(n, t) program_runner.add(_prog) await program_runner.join()
def get_butterfly_network_setup_commands(max_k, s3manager, instance_ids): from honeybadgermpc.preprocessing import PreProcessedElements from honeybadgermpc.preprocessing import PreProcessingConstants as Constants n, t = AwsConfig.TOTAL_VM_COUNT, AwsConfig.MPC_CONFIG.T k = max_k if max_k else AwsConfig.MPC_CONFIG.K logging.info("Starting to create preprocessing files.") stime = time() num_switches = k * int(log(k, 2))**2 pp_elements = PreProcessedElements() pp_elements.generate_triples(2 * num_switches, n, t) pp_elements.generate_one_minus_ones(num_switches, n, t) pp_elements.generate_rands(k, n, t) logging.info(f"Preprocessing files created in {time()-stime}") logging.info("Uploading inputs to AWS S3.") stime = time() triple_urls = s3manager.upload_files([ pp_elements.mixins[Constants.TRIPLES]._build_file_name(n, t, i) for i in range(n) ]) input_urls = s3manager.upload_files([ pp_elements.mixins[Constants.RANDS]._build_file_name(n, t, i) for i in range(n) ]) rand_share_urls = s3manager.upload_files([ pp_elements.mixins[Constants.ONE_MINUS_ONE]._build_file_name(n, t, i) for i in range(n) ]) logging.info(f"Inputs successfully uploaded in {time()-stime} seconds.") setup_commands = [[ instance_id, [ "sudo docker pull %s" % (AwsConfig.DOCKER_IMAGE_PATH), "mkdir -p sharedata", "cd sharedata; curl -sSO %s" % (triple_urls[i]), "cd sharedata; curl -sSO %s" % (rand_share_urls[i]), "cd sharedata; curl -sSO %s" % (input_urls[i]), "mkdir -p benchmark-logs", ], ] for i, instance_id in enumerate(instance_ids)] return setup_commands
async def test_mpc_programs(peers, n, t, my_id): from honeybadgermpc.mpc import test_prog1, test_prog2, test_batchopening from honeybadgermpc.preprocessing import PreProcessedElements from honeybadgermpc.preprocessing import wait_for_preprocessing, preprocessing_done if not HbmpcConfig.skip_preprocessing: # Only one party needs to generate the preprocessed elements for testing if HbmpcConfig.my_id == 0: pp_elements = PreProcessedElements() pp_elements.generate_zeros(1000, HbmpcConfig.N, HbmpcConfig.t) pp_elements.generate_triples(1000, HbmpcConfig.N, HbmpcConfig.t) preprocessing_done() else: await wait_for_preprocessing() async with ProcessProgramRunner(peers, n, t, my_id) as runner: test_prog1 # r1 = runner.execute("0", test_prog1) r2 = runner.execute("1", test_prog2) r3 = runner.execute("2", test_batchopening) results = await asyncio.gather(*[r2, r3]) return results
def _preprocess(n, t, k, to_generate): from honeybadgermpc.preprocessing import PreProcessedElements pp_elements = PreProcessedElements() for kind in to_generate: if kind == "triples": pp_elements.generate_triples(k, n, t) elif kind == "cubes": pp_elements.generate_cubes(k, n, t) elif kind == "zeros": pp_elements.generate_zeros(k, n, t) elif kind == "rands": pp_elements.generate_rands(k, n, t) elif kind == "bits": pp_elements.generate_bits(k, n, t) elif kind == "one_minus_one": pp_elements.generate_one_minus_ones(k, n, t) elif kind == "double_shares": pp_elements.generate_double_shares(k, n, t) elif kind == "share_bits": pp_elements.generate_share_bits(k, n, t) else: raise ValueError(f"{kind} must be manually preprocessed")
HbmpcConfig.load_config() k = int(HbmpcConfig.extras["k"]) pp_elements = PreProcessedElements() pp_elements.clear_preprocessing() asyncio.set_event_loop(asyncio.new_event_loop()) loop = asyncio.get_event_loop() loop.set_debug(True) try: if not HbmpcConfig.skip_preprocessing: if HbmpcConfig.my_id == 0: NUM_SWITCHES = k * int(log(k, 2))**2 pp_elements.generate_one_minus_ones(NUM_SWITCHES, HbmpcConfig.N, HbmpcConfig.t) pp_elements.generate_triples(2 * NUM_SWITCHES, HbmpcConfig.N, HbmpcConfig.t) pp_elements.generate_rands(k, HbmpcConfig.N, HbmpcConfig.t) pp_elements.preprocessing_done() else: loop.run_until_complete(pp_elements.wait_for_preprocessing()) loop.run_until_complete( _run(HbmpcConfig.peers, HbmpcConfig.N, HbmpcConfig.t, HbmpcConfig.my_id)) finally: loop.close() pp_elements.clear_preprocessing()
if __name__ == "__main__": from honeybadgermpc.config import HbmpcConfig import sys if not HbmpcConfig.peers: print(f"WARNING: the $CONFIG_PATH environment variable wasn't set. " f"Please run this file with `scripts/launch-tmuxlocal.sh " f"apps/tutorial/hbmpc-tutorial-2.py conf/mpc/local`") sys.exit(1) asyncio.set_event_loop(asyncio.new_event_loop()) loop = asyncio.get_event_loop() loop.set_debug(True) try: if HbmpcConfig.my_id == 0: k = 100 # How many of each kind of preproc pp_elements = FakePreProcessedElements() pp_elements.generate_bits(k, HbmpcConfig.N, HbmpcConfig.t) pp_elements.generate_triples(k, HbmpcConfig.N, HbmpcConfig.t) pp_elements.preprocessing_done() else: loop.run_until_complete(pp_elements.wait_for_preprocessing()) loop.run_until_complete( _run(HbmpcConfig.peers, HbmpcConfig.N, HbmpcConfig.t, HbmpcConfig.my_id)) finally: loop.close()