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self.lock.release()
time.sleep(0.001)
# Wait for any additional function requests to come in
self.status = ""
while (len(self.queue) == 0) and (not self.update_request) and self.run:
time.sleep(0.1)
def stop(self):
run = False
def find_instr(self, addr, exact_match = False):
self.lock.acquire()
for func in self.functions.values():
for block in func.blocks.values():
for instr in block.instrs:
if (exact_match and (addr == instr.addr)) or ((not exact_match) and (addr >= instr.addr) and (addr < (instr.addr + len(instr.opcode)))):
result = [func.entry, instr.addr]
self.lock.release()
return result
self.lock.release()
return [None, None]
def notify_data_write(self, data, ofs, contents):
self.lock.acquire()
# Update any functions containing the updated bytes
start = ofs
end = ofs + len(contents)
for func in self.functions.values():
added = False
for block in func.blocks.values():
for instr in block.instrs:
if (end > instr.addr) and (start < (instr.addr + len(instr.opcode))):
if func.entry not in self.queue:
self.queue += [func.entry]
added = True
break
if added:
break
self.lock.release()
def create_symbol(self, addr, name):
self.lock.acquire()
self.exe.create_symbol(addr, name)
if addr in self.functions:
self.functions[addr].rename(name)
self.update_request = True
self.lock.release()
def undefine_symbol(self, addr, name):
self.lock.acquire()
self.exe.delete_symbol(addr, name)
if addr in self.functions:
self.functions[addr].rename("sub_%.8x" % addr)
self.update_request = True
self.lock.release()
def set_address_view(self, addr):
self.lock.acquire()
if addr:
self.options.add("address")
else:
self.options.remove("address")
self.update_request = True
self.lock.release()
def isPreferredForFile(data):
for type in ExeFormats:
exe = type(data)
if exe.valid:
return True
return False
isPreferredForFile = staticmethod(isPreferredForFile)
# <FILESEP>
# -*- coding: utf-8 -*-
"""
Created on Wed Jun 26 10:44:37 2019
@author: rulix
"""
import numpy as np
import tensorflow as tf
from layers.SoftDCCALayer import SoftDCCALayer
from layers.CorrFusion import CorrFusion
from losses import *
class model():
def __init__(self, inputs_shape=None):
# alternative network: vgg16, vgg19, densenet...
tf.reset_default_graph()
self.base_net_t1 = tf.keras.applications.VGG16