Esempio n. 1
0
    def test_k_21(self):
        challenge: bytes = bytes([i for i in range(0, 32)])

        plot_seed: bytes = bytes([5, 104, 52, 4, 51, 55, 23, 84, 91, 10, 111, 12, 13,
                                  222, 151, 16, 228, 211, 254, 45, 92, 198, 204, 10, 9,
                                  10, 11, 129, 139, 171, 15, 23])

        pl = DiskPlotter()
        pl.create_plot_disk(".", ".", ".", "myplot.dat", 21, bytes([1, 2, 3, 4, 5]), plot_seed, 2*1024)
        pl = None

        pr = DiskProver(str(Path("myplot.dat")))

        total_proofs: int = 0
        iterations: int = 5000

        v = Verifier()
        for i in range(iterations):
            if i % 100 == 0:
                print(i)
            challenge = sha256(i.to_bytes(4, "big")).digest()
            for index, quality in enumerate(pr.get_qualities_for_challenge(challenge)):
                proof = pr.get_full_proof(challenge, index)
                assert len(proof) == 8*pr.get_size()
                computed_quality = v.validate_proof(plot_seed, pr.get_size(), challenge, proof)
                assert computed_quality == quality
                total_proofs += 1

        print(f"total proofs {total_proofs} out of {iterations}\
            {total_proofs / iterations}")
        assert total_proofs == 4647
        pr = None
        Path("myplot.dat").unlink()
Esempio n. 2
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    def test_faulty_plot_doesnt_crash(self):
        if Path("myplot.dat").exists():
            Path("myplot.dat").unlink()
        if Path("myplotbad.dat").exists():
            Path("myplotbad.dat").unlink()

        plot_id: bytes = bytes([i for i in range(32, 64)])
        pl = DiskPlotter()
        pl.create_plot_disk(
            ".",
            ".",
            ".",
            "myplot.dat",
            21,
            bytes([1, 2, 3, 4, 5]),
            plot_id,
            300,
            32,
            8192,
            8,
            False,
        )
        f = open("myplot.dat", "rb")
        all_data = bytearray(f.read())
        f.close()
        assert len(all_data) > 20000000
        all_data_bad = all_data[:20000000] + bytearray(
            token_bytes(10000)) + all_data[20100000:]
        f_bad = open("myplotbad.dat", "wb")
        f_bad.write(all_data_bad)
        f_bad.close()

        pr = DiskProver(str(Path("myplotbad.dat")))

        iterations: int = 50000
        v = Verifier()
        successes = 0
        failures = 0
        for i in range(iterations):
            if i % 100 == 0:
                print(i)
            challenge = sha256(i.to_bytes(4, "big")).digest()
            try:
                for index, quality in enumerate(
                        pr.get_qualities_for_challenge(challenge)):
                    proof = pr.get_full_proof(challenge, index)
                    computed_quality = v.validate_proof(
                        plot_id, pr.get_size(), challenge, proof)
                    if computed_quality == quality:
                        successes += 1
                    else:
                        print("Did not validate")
                        failures += 1
            except Exception as e:
                print(f"Exception: {e}")
                failures += 1
        print(f"Successes: {successes}")
        print(f"Failures: {failures}")
Esempio n. 3
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def main():
    """
    Script for checking all plots in the plots.yaml file. Specify a number of challenge to test for each plot.
    """

    parser = argparse.ArgumentParser(description="Chia plot checking script.")
    parser.add_argument("-n",
                        "--num",
                        help="Number of challenges",
                        type=int,
                        default=1000)
    args = parser.parse_args()

    v = Verifier()
    if os.path.isfile(plot_config_filename):
        plot_config = safe_load(open(plot_config_filename, "r"))
        for plot_filename, plot_info in plot_config["plots"].items():
            plot_seed: bytes32 = ProofOfSpace.calculate_plot_seed(
                PublicKey.from_bytes(bytes.fromhex(plot_info["pool_pk"])),
                PrivateKey.from_bytes(bytes.fromhex(
                    plot_info["sk"])).get_public_key(),
            )
            if not os.path.isfile(plot_filename):
                # Tries relative path
                full_path: str = os.path.join(plot_root, plot_filename)
                if not os.path.isfile(full_path):
                    # Tries absolute path
                    full_path: str = plot_filename
                    if not os.path.isfile(full_path):
                        print(f"Plot file {full_path} not found.")
                        continue
                pr = DiskProver(full_path)
            else:
                pr = DiskProver(plot_filename)

            total_proofs = 0
            try:
                for i in range(args.num):
                    challenge = sha256(i.to_bytes(32, "big")).digest()
                    for index, quality in enumerate(
                            pr.get_qualities_for_challenge(challenge)):
                        proof = pr.get_full_proof(challenge, index)
                        total_proofs += 1
                        ver_quality = v.validate_proof(plot_seed,
                                                       pr.get_size(),
                                                       challenge, proof)
                        assert quality == ver_quality
            except BaseException as e:
                print(
                    f"{type(e)}: {e} error in proving/verifying for plot {plot_filename}"
                )
            print(
                f"{plot_filename}: Proofs {total_proofs} / {args.num}, {round(total_proofs/float(args.num), 4)}"
            )
    else:
        print(f"Not plot file found at {plot_config_filename}")
Esempio n. 4
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def main():
    """
    Script for checking all plots in the plots.yaml file. Specify a number of challenge to test for each plot.
    """

    parser = argparse.ArgumentParser(
        description="Exodus plot checking script.")
    parser.add_argument("-n",
                        "--num",
                        help="Number of challenges",
                        type=int,
                        default=100)
    args = parser.parse_args()

    root_path = DEFAULT_ROOT_PATH
    plot_config = load_config(root_path, plot_config_filename)
    config = load_config(root_path, config_filename)

    initialize_logging("%(name)-22s", {"log_stdout": True}, root_path)
    log = logging.getLogger(__name__)

    v = Verifier()
    log.info("Loading plots in plots.yaml using harvester loading code\n")
    provers, _, _ = load_plots(config["harvester"], plot_config, None,
                               root_path)
    log.info(
        f"\n\nStarting to test each plot with {args.num} challenges each\n")
    for plot_path, pr in provers.items():
        total_proofs = 0
        try:
            for i in range(args.num):
                challenge = std_hash(i.to_bytes(32, "big"))
                for index, quality_str in enumerate(
                        pr.get_qualities_for_challenge(challenge)):
                    proof = pr.get_full_proof(challenge, index)
                    total_proofs += 1
                    ver_quality_str = v.validate_proof(pr.get_id(),
                                                       pr.get_size(),
                                                       challenge, proof)
                    assert quality_str == ver_quality_str
        except BaseException as e:
            if isinstance(e, KeyboardInterrupt):
                log.warning("Interrupted, closing")
                return
            log.error(
                f"{type(e)}: {e} error in proving/verifying for plot {plot_path}"
            )
        if total_proofs > 0:
            log.info(
                f"{plot_path}: Proofs {total_proofs} / {args.num}, {round(total_proofs/float(args.num), 4)}"
            )
        else:
            log.error(
                f"{plot_path}: Proofs {total_proofs} / {args.num}, {round(total_proofs/float(args.num), 4)}"
            )
Esempio n. 5
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def check_plots(args, root_path):
    config = load_config(root_path, "config.yaml")
    if args.num is not None:
        num = args.num
    else:
        num = 20
    if args.grep_string is not None:
        match_str = args.grep_string
    else:
        match_str = None

    v = Verifier()
    log.info("Loading plots in config.yaml using plot_tools loading code\n")
    kc: Keychain = Keychain()
    pks = [
        master_sk_to_farmer_sk(sk).get_g1()
        for sk, _ in kc.get_all_private_keys()
    ]
    pool_public_keys = [
        G1Element.from_bytes(bytes.fromhex(pk))
        for pk in config["farmer"]["pool_public_keys"]
    ]
    _, provers, failed_to_open_filenames, no_key_filenames = load_plots(
        {},
        {},
        pks,
        pool_public_keys,
        match_str,
        root_path,
        open_no_key_filenames=True,
    )
    if len(provers) > 0:
        log.info("")
        log.info("")
        log.info(f"Starting to test each plot with {num} challenges each\n")
    total_good_plots: Counter = Counter()
    total_bad_plots = 0
    total_size = 0

    for plot_path, plot_info in provers.items():
        pr = plot_info.prover
        log.info(f"Testing plot {plot_path} k={pr.get_size()}")
        log.info(f"\tPool public key: {plot_info.pool_public_key}")
        log.info(f"\tFarmer public key: {plot_info.farmer_public_key}")
        log.info(f"\tLocal sk: {plot_info.local_sk}")
        total_proofs = 0
        try:
            for i in range(num):
                challenge = std_hash(i.to_bytes(32, "big"))
                for index, quality_str in enumerate(
                        pr.get_qualities_for_challenge(challenge)):
                    proof = pr.get_full_proof(challenge, index)
                    total_proofs += 1
                    ver_quality_str = v.validate_proof(pr.get_id(),
                                                       pr.get_size(),
                                                       challenge, proof)
                    assert quality_str == ver_quality_str
        except BaseException as e:
            if isinstance(e, KeyboardInterrupt):
                log.warning("Interrupted, closing")
                return
            log.error(
                f"{type(e)}: {e} error in proving/verifying for plot {plot_path}"
            )
        if total_proofs > 0:
            log.info(
                f"\tProofs {total_proofs} / {num}, {round(total_proofs/float(num), 4)}"
            )
            total_good_plots[pr.get_size()] += 1
            total_size += plot_path.stat().st_size
        else:
            total_bad_plots += 1
            log.error(
                f"\tProofs {total_proofs} / {num}, {round(total_proofs/float(num), 4)}"
            )
    log.info("")
    log.info("")
    log.info("Summary")
    total_plots: int = sum(list(total_good_plots.values()))
    log.info(
        f"Found {total_plots} valid plots, total size {total_size / (1024 * 1024 * 1024 * 1024):.5f} TiB"
    )
    for (k, count) in sorted(dict(total_good_plots).items()):
        log.info(f"{count} plots of size {k}")
    grand_total_bad = total_bad_plots + len(failed_to_open_filenames)
    if grand_total_bad > 0:
        log.warning(f"{grand_total_bad} invalid plots")
    if len(no_key_filenames) > 0:
        log.warning(
            f"There are {len(no_key_filenames)} plots with a farmer or pool public key that "
            f"is not on this machine. The farmer private key must be in the keychain in order to "
            f"farm them, use 'chia keys' to transfer keys. The pool public keys must be in the config.yaml"
        )
Esempio n. 6
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def check_plots(root_path, num, challenge_start, grep_string, list_duplicates,
                debug_show_memo):
    config = load_config(root_path, "config.yaml")
    if num is not None:
        if num == 0:
            log.warning("Not opening plot files")
        else:
            if num < 5:
                log.warning(
                    f"{num} challenges is too low, setting it to the minimum of 5"
                )
                num = 5
            if num < 30:
                log.warning(
                    "Use 30 challenges (our default) for balance of speed and accurate results"
                )
    else:
        num = 30

    if challenge_start is not None:
        num_start = challenge_start
        num_end = num_start + num
    else:
        num_start = 0
        num_end = num
    challenges = num_end - num_start

    if grep_string is not None:
        match_str = grep_string
    else:
        match_str = None
    if list_duplicates:
        log.warning("Checking for duplicate Plot IDs")
        log.info("Plot filenames expected to end with -[64 char plot ID].plot")

    show_memo: bool = debug_show_memo

    if list_duplicates:
        plot_filenames: Dict[Path, List[Path]] = get_plot_filenames(
            config["harvester"])
        all_filenames: List[Path] = []
        for paths in plot_filenames.values():
            all_filenames += paths
        find_duplicate_plot_IDs(all_filenames)

    if num == 0:
        return None

    v = Verifier()
    log.info("Loading plots in config.yaml using plot_tools loading code\n")
    kc: Keychain = Keychain()
    pks = [
        master_sk_to_farmer_sk(sk).get_g1()
        for sk, _ in kc.get_all_private_keys()
    ]
    pool_public_keys = [
        G1Element.from_bytes(bytes.fromhex(pk))
        for pk in config["farmer"]["pool_public_keys"]
    ]
    _, provers, failed_to_open_filenames, no_key_filenames = load_plots(
        {},
        {},
        pks,
        pool_public_keys,
        match_str,
        show_memo,
        root_path,
        open_no_key_filenames=True,
    )
    if len(provers) > 0:
        log.info("")
        log.info("")
        log.info(f"Starting to test each plot with {num} challenges each\n")
    total_good_plots: Counter = Counter()
    total_bad_plots = 0
    total_size = 0
    bad_plots_list: List[Path] = []

    for plot_path, plot_info in provers.items():
        pr = plot_info.prover
        log.info(f"Testing plot {plot_path} k={pr.get_size()}")
        log.info(f"\tPool public key: {plot_info.pool_public_key}")

        # Look up local_sk from plot to save locked memory
        (
            pool_public_key_or_puzzle_hash,
            farmer_public_key,
            local_master_sk,
        ) = parse_plot_info(pr.get_memo())
        local_sk = master_sk_to_local_sk(local_master_sk)
        log.info(f"\tFarmer public key: {farmer_public_key}")
        log.info(f"\tLocal sk: {local_sk}")
        total_proofs = 0
        caught_exception: bool = False
        for i in range(num_start, num_end):
            challenge = std_hash(i.to_bytes(32, "big"))
            # Some plot errors cause get_qualities_for_challenge to throw a RuntimeError
            try:
                for index, quality_str in enumerate(
                        pr.get_qualities_for_challenge(challenge)):
                    # Other plot errors cause get_full_proof or validate_proof to throw an AssertionError
                    try:
                        proof = pr.get_full_proof(challenge, index)
                        total_proofs += 1
                        ver_quality_str = v.validate_proof(
                            pr.get_id(), pr.get_size(), challenge, proof)
                        assert quality_str == ver_quality_str
                    except AssertionError as e:
                        log.error(
                            f"{type(e)}: {e} error in proving/verifying for plot {plot_path}"
                        )
                        caught_exception = True
            except KeyboardInterrupt:
                log.warning("Interrupted, closing")
                return None
            except SystemExit:
                log.warning("System is shutting down.")
                return None
            except Exception as e:
                log.error(
                    f"{type(e)}: {e} error in getting challenge qualities for plot {plot_path}"
                )
                caught_exception = True
            if caught_exception is True:
                break
        if total_proofs > 0 and caught_exception is False:
            log.info(
                f"\tProofs {total_proofs} / {challenges}, {round(total_proofs/float(challenges), 4)}"
            )
            total_good_plots[pr.get_size()] += 1
            total_size += plot_path.stat().st_size
        else:
            total_bad_plots += 1
            log.error(
                f"\tProofs {total_proofs} / {challenges}, {round(total_proofs/float(challenges), 4)}"
            )
            bad_plots_list.append(plot_path)
    log.info("")
    log.info("")
    log.info("Summary")
    total_plots: int = sum(list(total_good_plots.values()))
    log.info(
        f"Found {total_plots} valid plots, total size {total_size / (1024 * 1024 * 1024 * 1024):.5f} TiB"
    )
    for (k, count) in sorted(dict(total_good_plots).items()):
        log.info(f"{count} plots of size {k}")
    grand_total_bad = total_bad_plots + len(failed_to_open_filenames)
    if grand_total_bad > 0:
        log.warning(f"{grand_total_bad} invalid plots found:")
        for bad_plot_path in bad_plots_list:
            log.warning(f"{bad_plot_path}")
    if len(no_key_filenames) > 0:
        log.warning(
            f"There are {len(no_key_filenames)} plots with a farmer or pool public key that "
            f"is not on this machine. The farmer private key must be in the keychain in order to "
            f"farm them, use 'chia keys' to transfer keys. The pool public keys must be in the config.yaml"
        )
Esempio n. 7
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    def test_k_21(self):
        challenge: bytes = bytes([i for i in range(0, 32)])

        plot_seed: bytes = bytes(
            [
                5,
                104,
                52,
                4,
                51,
                55,
                23,
                84,
                91,
                10,
                111,
                12,
                13,
                222,
                151,
                16,
                228,
                211,
                254,
                45,
                92,
                198,
                204,
                10,
                9,
                10,
                11,
                129,
                139,
                171,
                15,
                23,
            ]
        )

        pl = DiskPlotter()
        pl.create_plot_disk(
            ".", ".", ".", "myplot.dat", 21, bytes([1, 2, 3, 4, 5]), plot_seed, 300, 32, 8192, 8
        )
        pl = None

        pr = DiskProver(str(Path("myplot.dat")))

        total_proofs: int = 0
        iterations: int = 5000

        v = Verifier()
        for i in range(iterations):
            if i % 100 == 0:
                print(i)
            challenge = sha256(i.to_bytes(4, "big")).digest()
            for index, quality in enumerate(pr.get_qualities_for_challenge(challenge)):
                proof = pr.get_full_proof(challenge, index)
                assert len(proof) == 8 * pr.get_size()
                computed_quality = v.validate_proof(
                    plot_seed, pr.get_size(), challenge, proof
                )
                assert computed_quality == quality
                total_proofs += 1

        print(
            f"total proofs {total_proofs} out of {iterations}\
            {total_proofs / iterations}"
        )
        assert total_proofs > 4000
        assert total_proofs < 6000
        pr = None
        sha256_plot_hash = sha256()
        with open("myplot.dat", "rb") as f:
            # Read and update hash string value in blocks of 4K
            for byte_block in iter(lambda: f.read(4096), b""):
                sha256_plot_hash.update(byte_block)
            plot_hash = str(sha256_plot_hash.hexdigest())
        assert (
            plot_hash
            == "80e32f560f3a4347760d6baae8d16fbaf484948088bff05c51bdcc24b7bc40d9"
        )
        print(f"\nPlotfile asserted sha256: {plot_hash}\n")
        Path("myplot.dat").unlink()
Esempio n. 8
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def check_plots(root_path, num, challenge_start, grep_string, list_duplicates, debug_show_memo):
    config = load_config(root_path, "config.yaml")
    plot_refresh_parameter: PlotsRefreshParameter = PlotsRefreshParameter(100, 100, 1)
    plot_manager: PlotManager = PlotManager(
        root_path,
        match_str=grep_string,
        show_memo=debug_show_memo,
        open_no_key_filenames=True,
        refresh_parameter=plot_refresh_parameter,
        refresh_callback=plot_refresh_callback,
    )
    if num is not None:
        if num == 0:
            log.warning("Not opening plot files")
        else:
            if num < 5:
                log.warning(f"{num} challenges is too low, setting it to the minimum of 5")
                num = 5
            if num < 30:
                log.warning("Use 30 challenges (our default) for balance of speed and accurate results")
    else:
        num = 30

    if challenge_start is not None:
        num_start = challenge_start
        num_end = num_start + num
    else:
        num_start = 0
        num_end = num
    challenges = num_end - num_start

    if list_duplicates:
        log.warning("Checking for duplicate Plot IDs")
        log.info("Plot filenames expected to end with -[64 char plot ID].plot")

    if list_duplicates:
        all_filenames: List[Path] = []
        for paths in get_plot_filenames(root_path).values():
            all_filenames += paths
        find_duplicate_plot_IDs(all_filenames)

    if num == 0:
        return None

    parallel_read: bool = config["harvester"].get("parallel_read", True)

    v = Verifier()
    log.info(f"Loading plots in config.yaml using plot_manager loading code (parallel read: {parallel_read})\n")
    # Prompts interactively if the keyring is protected by a master passphrase. To use the daemon
    # for keychain access, KeychainProxy/connect_to_keychain should be used instead of Keychain.
    kc: Keychain = Keychain()
    plot_manager.set_public_keys(
        [master_sk_to_farmer_sk(sk).get_g1() for sk, _ in kc.get_all_private_keys()],
        [G1Element.from_bytes(bytes.fromhex(pk)) for pk in config["farmer"]["pool_public_keys"]],
    )
    plot_manager.start_refreshing()

    while plot_manager.needs_refresh():
        sleep(1)

    plot_manager.stop_refreshing()

    if plot_manager.plot_count() > 0:
        log.info("")
        log.info("")
        log.info(f"Starting to test each plot with {num} challenges each\n")
    total_good_plots: Counter = Counter()
    total_bad_plots = 0
    total_size = 0
    bad_plots_list: List[Path] = []

    with plot_manager:
        for plot_path, plot_info in plot_manager.plots.items():
            pr = plot_info.prover
            log.info(f"Testing plot {plot_path} k={pr.get_size()}")
            log.info(f"\tPool public key: {plot_info.pool_public_key}")

            # Look up local_sk from plot to save locked memory
            (
                pool_public_key_or_puzzle_hash,
                farmer_public_key,
                local_master_sk,
            ) = parse_plot_info(pr.get_memo())
            local_sk = master_sk_to_local_sk(local_master_sk)
            log.info(f"\tFarmer public key: {farmer_public_key}")
            log.info(f"\tLocal sk: {local_sk}")
            total_proofs = 0
            caught_exception: bool = False
            for i in range(num_start, num_end):
                challenge = std_hash(i.to_bytes(32, "big"))
                # Some plot errors cause get_qualities_for_challenge to throw a RuntimeError
                try:
                    quality_start_time = int(round(time() * 1000))
                    for index, quality_str in enumerate(pr.get_qualities_for_challenge(challenge)):
                        quality_spent_time = int(round(time() * 1000)) - quality_start_time
                        if quality_spent_time > 5000:
                            log.warning(
                                f"\tLooking up qualities took: {quality_spent_time} ms. This should be below 5 seconds "
                                f"to minimize risk of losing rewards."
                            )
                        else:
                            log.info(f"\tLooking up qualities took: {quality_spent_time} ms.")

                        # Other plot errors cause get_full_proof or validate_proof to throw an AssertionError
                        try:
                            proof_start_time = int(round(time() * 1000))
                            proof = pr.get_full_proof(challenge, index, parallel_read)
                            proof_spent_time = int(round(time() * 1000)) - proof_start_time
                            if proof_spent_time > 15000:
                                log.warning(
                                    f"\tFinding proof took: {proof_spent_time} ms. This should be below 15 seconds "
                                    f"to minimize risk of losing rewards."
                                )
                            else:
                                log.info(f"\tFinding proof took: {proof_spent_time} ms")
                            total_proofs += 1
                            ver_quality_str = v.validate_proof(pr.get_id(), pr.get_size(), challenge, proof)
                            assert quality_str == ver_quality_str
                        except AssertionError as e:
                            log.error(f"{type(e)}: {e} error in proving/verifying for plot {plot_path}")
                            caught_exception = True
                        quality_start_time = int(round(time() * 1000))
                except KeyboardInterrupt:
                    log.warning("Interrupted, closing")
                    return None
                except SystemExit:
                    log.warning("System is shutting down.")
                    return None
                except Exception as e:
                    log.error(f"{type(e)}: {e} error in getting challenge qualities for plot {plot_path}")
                    caught_exception = True
                if caught_exception is True:
                    break
            if total_proofs > 0 and caught_exception is False:
                log.info(f"\tProofs {total_proofs} / {challenges}, {round(total_proofs/float(challenges), 4)}")
                total_good_plots[pr.get_size()] += 1
                total_size += plot_path.stat().st_size
            else:
                total_bad_plots += 1
                log.error(f"\tProofs {total_proofs} / {challenges}, {round(total_proofs/float(challenges), 4)}")
                bad_plots_list.append(plot_path)
    log.info("")
    log.info("")
    log.info("Summary")
    total_plots: int = sum(list(total_good_plots.values()))
    log.info(f"Found {total_plots} valid plots, total size {total_size / (1024 * 1024 * 1024 * 1024):.5f} TiB")
    for (k, count) in sorted(dict(total_good_plots).items()):
        log.info(f"{count} plots of size {k}")
    grand_total_bad = total_bad_plots + len(plot_manager.failed_to_open_filenames)
    if grand_total_bad > 0:
        log.warning(f"{grand_total_bad} invalid plots found:")
        for bad_plot_path in bad_plots_list:
            log.warning(f"{bad_plot_path}")
    if len(plot_manager.no_key_filenames) > 0:
        log.warning(
            f"There are {len(plot_manager.no_key_filenames)} plots with a farmer or pool public key that "
            f"is not on this machine. The farmer private key must be in the keychain in order to "
            f"farm them, use 'chia keys' to transfer keys. The pool public keys must be in the config.yaml"
        )
Esempio n. 9
0
import secrets
import os

challenge: bytes = bytes([i for i in range(0, 32)])

plot_id: bytes = bytes([
    5, 104, 52, 4, 51, 55, 23, 84, 91, 10, 111, 12, 13, 222, 151, 16, 228, 211,
    254, 45, 92, 198, 204, 10, 9, 10, 11, 129, 139, 171, 15, 23
])
filename = "./myplot.dat"
pl = DiskPlotter()
pl.create_plot_disk(filename, 21, bytes([1, 2, 3, 4, 5]), plot_id)
pr = DiskProver(filename)

total_proofs: int = 0
iterations: int = 5000

v = Verifier()
for i in range(iterations):
    challenge = sha256(i.to_bytes(4, "big")).digest()
    for index, quality in enumerate(pr.get_qualities_for_challenge(challenge)):
        proof = pr.get_full_proof(challenge, index)
        total_proofs += 1
        ver_quality = v.validate_proof(plot_id, 21, challenge, proof)
        assert (quality == ver_quality)

os.remove(filename)

print(f"total proofs {total_proofs} out of {iterations}\
      {total_proofs / iterations}")