renlord / bookish-octo-barnacle

Paper: https://arxiv.org/abs/1905.00553

"""How the plots are generated:
import os
import numpy as np
import matplotlib as mpl
mpl.use('Agg')
import matplotlib.pyplot as plt
import concurrent.futures as conc
mpl.rc('font', size=16)

WIDTH=14
HEIGHT=10

OUTPUT_DIR="/scratch/[REDACTED]/SNB2019-PLOTS/"

datafiles = os.listdir('/scratch/[REDACTED]/muppet-ops')

fig, axes = plt.subplots(1, 1, figsize=(WIDTH,HEIGHT))
axes.set_ylabel('Density')

def plot(filename):
    fig, axes = plt.subplots(1, 1, figsize=(WIDTH,HEIGHT))
    axes.set_ylabel('Density')

    try:  
        muppetRatios = np.fromfile('/scratch/[REDACTED]/muppet-ops/{}'.format(filename),
          dtype=float, sep='\n')
        loulaRatios = np.fromfile('/scratch/[REDACTED]/loula-ops-data/{}'.format(filename),
          dtype=float, sep='\n')

        axes.set_xscale('log')
        axes.set_xlabel('{} Time-to-Gas Ratio (ns/gas)'.format(filename))
        ax = axes.twinx()
        ax.set_ylabel('Observation Count')

        muppetlogbins = np.geomspace(1, muppetRatios.max())
        loulalogbins = np.geomspace(1, loulaRatios.max())

        ax.hist(muppetRatios, bins=muppetlogbins,\
          alpha=0.3,\
          label="Machine A")
        axes.hist(muppetRatios, bins=muppetlogbins,\
          histtype='step', density=True,
               cumulative=True)
        ax.hist(loulaRatios, bins=loulalogbins,\
          alpha=0.3,\
          label="Machine B")
        axes.hist(loulaRatios, bins=loulalogbins,\
          histtype='step', density=True, cumulative=True)
        axes.axvline(1000, ls='--', color='r', label="Baseline")
        fig.legend(["Baseline", 'Machine A', 'Machine B'], loc="lower center",
        ncol=3, borderaxespad=0)
        plt.savefig(OUTPUT_DIR + "{}".format(filename[:-4] + '.png'))
    except ValueError:
        return


with conc.ProcessPoolExecutor(max_workers=32) as e:
    e.map(plot, datafiles)
"""

PLOT_DIR='/scratch/[ANON]/SNB2019-PLOTS/'

from IPython.display import Image, display
import os


plots = os.listdir(PLOT_DIR)
for i in range(0, len(plots)):
    print(plots[i])
    display(Image(filename=(PLOT_DIR+plots[i])))

DUP3.png

ORIGIN.png

MSTORE8.png

GT.png

MOD.png

CALLVALUE.png

PUSH3.png

AND.png

SWAP1.png

SWAP14.png

ISZERO.png

GAS.png

POP.png

LOG2.png

JUMPCI.png

BLOCKHASH.png

SSTORE.png

DUP10.png

BYTE.png

PUSH2.png

DUP9.png

SWAP13.png

PUSH5.png

SWAP2.png

SUICIDE.png

EQ.png

SWAP9.png

SUB.png

DUP15.png

BALANCE.png

SWAP8.png

GASLIMIT.png

PUSHC.png

MLOAD.png

JUMPDEST.png

JUMPI.png

PUSH1.png

DUP13.png

SWAP7.png

EXTCODESIZE.png

DUP7.png

SWAP4.png

CALLDATALOAD.png

MUL.png

DUP14.png

DUP16.png

CALLER.png

SIGNEXTEND.png

MSTORE.png

DUP1.png

SWAP5.png

DIV.png

SWAP11.png

GASPRICE.png

SWAP12.png

OR.png

XOR.png

CODECOPY.png

MULMOD.png

NUMBER.png

DUP4.png

PC.png

SWAP6.png

ADDMOD.png

DUP12.png

LT.png

JUMP.png

EXTCODECOPY.png

COINBASE.png

DUP2.png

LOG0.png

SWAP3.png

ADDRESS.png

SWAP16.png

RETURN.png

TIMESTAMP.png

LOG3.png

SMOD.png

DUP11.png

PUSH4.png

DUP5.png

CALLDATACOPY.png

ADD.png

DUP6.png

LOG1.png

DIFFICULTY.png

SHA3.png

SWAP10.png

SGT.png

SLT.png

SDIV.png

LOG4.png

JUMPC.png

EXP.png

NOT.png

SWAP15.png

DUP8.png

CALLDATASIZE.png

SLOAD.png

CODESIZE.png

MSIZE.png

print("total number of plots: " + str(len(plots)))

total number of plots: 101

# Traces are available at: