def load_file(ctx):
if not os.path.exists(ctx.filename):
error("file {ctx.filename} doesn't exist".format(ctx=ctx))
if ctx.interactive:
return False
die()
if not os.path.isfile(ctx.filename):
error("this is not a file".format(ctx=ctx))
if ctx.interactive:
return False
die()
dirname = os.path.dirname(ctx.filename)
db_path = dirname + "/" if dirname != "" else ""
db_path += "." + os.path.basename(ctx.filename) + ".db"
db_exists = os.path.exists(db_path)
ctx.db_path = db_path
try:
dis = Disassembler(ctx.filename,
ctx.raw_type,
ctx.raw_base,
ctx.raw_big_endian,
load_symbols=not db_exists)
except ExcArch as e:
error("arch %s is not supported" % e.arch)
if ctx.interactive:
return False
die()
except ExcFileFormat:
error("the file is not PE or ELF binary")
if ctx.interactive:
return False
die()
except ExcPEFail as e:
error(str(e.e))
error("It seems that pefile.parse_data_directories is bugged.")
error("Maybe you should Retry")
if ctx.interactive:
return False
die()
# Load symbols in the database
if db_exists:
info("open database %s" % db_path)
fd = open(db_path, "r")
db = json.loads(fd.read())
ctx.db = db
sym = dis.binary.symbols
rev_sym = dis.binary.reverse_symbols
for name, addr in db["symbols"].items():
sym[name] = addr
rev_sym[addr] = name
fd.close()
ctx.dis = dis
ctx.libarch = dis.load_arch_module()
return True
def load(self, filename):
gc.disable()
self.__init_vars()
dirname = os.path.dirname(filename)
self.path = dirname + "/" if dirname != "" else ""
self.path += "." + os.path.basename(filename) + ".db"
if os.path.exists(self.path):
info("open database %s" % self.path)
fd = open(self.path, "rb")
data = self.__check_old_json_db(fd)
if data is None:
data = msgpack.unpackb(fd.read(), encoding="utf-8")
fd.close()
self.__load_symbols(data)
self.__load_jmptables(data)
self.__load_comments(data)
self.__load_meta(data)
self.__load_memory(data)
self.__load_functions(data)
self.loaded = True
gc.enable()
def create_anno(n_threads=70):
xml_fps = glob.glob('./data/protein_xmls/*.xml')
create_anno_list = [{'xml_fp': xml_fp} for xml_fp in xml_fps]
with Pool(n_threads) as p:
result_iter = p.imap_unordered(create_anno_for_one_xml,
create_anno_list)
df_list = []
for i_result, result in enumerate(result_iter):
info(
f"({i_result}/{len(create_anno_list)}) {result['task']['xml_fp']}"
)
df_list.append(result['df'])
df = pd.concat(df_list, ignore_index=True)
df = df[[
'img_id',
'ensembl_id',
'name',
'location',
'verification',
'cell_line',
'red',
'green',
'blue',
'yellow',
'img_url',
]]
df.to_csv('./data/hpa_public_imgs_meta.csv', index=False)
def load_file(ctx):
if not os.path.exists(ctx.filename):
error("file {ctx.filename} doesn't exist".format(ctx=ctx))
if ctx.interactive:
return False
die()
if not os.path.isfile(ctx.filename):
error("this is not a file".format(ctx=ctx))
if ctx.interactive:
return False
die()
dirname = os.path.dirname(ctx.filename)
db_path = dirname + "/" if dirname != "" else ""
db_path += "." + os.path.basename(ctx.filename) + ".db"
db_exists = os.path.exists(db_path)
ctx.db_path = db_path
try:
dis = Disassembler(ctx.filename, ctx.raw_type,
ctx.raw_base, ctx.raw_big_endian,
load_symbols=not db_exists)
except ExcArch as e:
error("arch %s is not supported" % e.arch)
if ctx.interactive:
return False
die()
except ExcFileFormat:
error("the file is not PE or ELF binary")
if ctx.interactive:
return False
die()
except ExcPEFail as e:
error(str(e.e))
error("It seems that pefile.parse_data_directories is bugged.")
error("Maybe you should Retry")
if ctx.interactive:
return False
die()
# Load symbols in the database
if db_exists:
info("open database %s" % db_path)
fd = open(db_path, "r")
db = json.loads(fd.read())
ctx.db = db
sym = dis.binary.symbols
rev_sym = dis.binary.reverse_symbols
for name, addr in db["symbols"].items():
sym[name] = addr
rev_sym[addr] = name
fd.close()
ctx.dis = dis
ctx.libarch = dis.load_arch_module()
return True
def get_set(path_to_anno, folder, with_trans=False, n_threads=70):
anno = pd.read_csv(path_to_anno, index_col=0)
load_list = [{
'id_': id_,
'folder': folder,
'with_trans': with_trans
} for id_, row in anno.iterrows()]
with Pool(n_threads) as p:
result_iter = p.imap(load_one_img, load_list)
img_list = []
for i_result, result in enumerate(result_iter):
info(f"({i_result}/{len(load_list)}) {result['id_']}")
img_list.append((result['img'], result['id_']))
# img_list.sort(key=compare_fn)
return img_list
def download_all_images(n_threads=70):
xml_fps = glob.glob('./data/protein_xmls/*.xml')
result_rows = []
for result in multiprocessing(download_one, ({
'xml_fp': fp
} for fp in xml_fps),
len_=len(xml_fps)):
if len(result['errors']) > 0:
result_rows.append(result)
error_df = pd.DataFrame.from_records(
chain(*[row['errors'] for row in result_rows]))
print(error_df)
error_df.to_csv('tmp/error_df.csv', index=False)
info('ALL DONE !!')
def first_round(
n_threads=70,
path_to_test_anno='./data/sample_submission.csv',
path_to_test_imgs='./data/test_full_size_compressed',
path_to_hpa_anno='./data/hpa_public_imgs.csv',
path_to_hpa_imgs='./data/hpa_public_imgs',
):
test_set = get_set(path_to_test_anno,
path_to_test_imgs,
n_threads=n_threads)
hpa_trans_set = get_set(path_to_hpa_anno,
path_to_hpa_imgs,
with_trans=True,
n_threads=n_threads)
# test_set = get_set('./tmp/test1.csv', './tmp/test1/.', n_threads=n_threads)
# hpa_trans_set = get_set(
# './tmp/test1.csv',
# './tmp/test2',
# with_trans=True,
# n_threads=n_threads,
# )
identical_pairss = []
comparison_list = [{
'test_img': test_img,
'test_id': test_id,
'hpa_trans_set': hpa_trans_set
} for test_img, test_id in test_set]
with Pool(n_threads) as p:
result_iter = p.imap(comparison_for_one_test, comparison_list)
for i_result, result in enumerate(result_iter):
info(
f"Finished ({i_result}/{len(comparison_list)}) {result['test_id']}"
)
if len(result['identical_pairs']) > 0:
debug(
f"Found {len(result['identical_pairs'])} identical pairs!")
identical_pairss.append(result['identical_pairs'])
identical_pairs = [x for l in identical_pairss for x in l]
info(f'All done! Found {len(identical_pairs)} pairs.')
save_path = './tmp/identical_pairs_bk.csv'
out_df = pd.DataFrame.from_records(identical_pairs).sort_values(
'diff_score')
out_df.to_csv(save_path, index=False)
debug(f'Saved results to {save_path}')
def load(self, filename):
gc.disable()
self.__init_vars()
dirname = os.path.dirname(filename)
self.path = dirname + "/" if dirname != "" else ""
self.path += "." + os.path.basename(filename) + ".db"
if os.path.exists(self.path):
info("open database %s" % self.path)
fd = open(self.path, "rb")
data = self.__check_old_json_db(fd)
if data is None:
data = fd.read()
if data.startswith(b"ZLIB"):
data = zlib.decompress(data[4:])
data = msgpack.unpackb(data, encoding="utf-8")
fd.close()
self.__load_meta(data)
self.__load_memory(data)
self.__load_symbols(data)
self.__load_jmptables(data)
self.__load_comments(data)
self.__load_functions(data)
self.__load_history(data)
self.__load_xrefs(data)
self.__load_imports(data)
if self.version <= 1.5:
self.__load_labels(data)
if self.version != VERSION:
warning(
"the database version is old, some information may be missing"
)
self.loaded = True
gc.enable()
def show_top_imgs(save_path='./tmp/identical_pairs.csv'):
path_to_test_imgs = './data/test_full_size_compressed'
path_to_hpa_imgs = './data/hpa_public_imgs'
img_list = []
out_df = pd.read_csv(save_path)
df = out_df.head(144)
for i_row, row in df.iterrows():
info(f"({i_row}/{len(df)}) {row['test_id']} - {row['hpa_id']}")
test_img = load_image(
row['test_id'],
config,
resize=(512, 512),
folder=path_to_test_imgs,
extension='jpg',
channel=None,
) / 255.
hpa_img = load_image(
row['hpa_id'],
config,
resize=(512, 512),
folder=path_to_hpa_imgs,
extension='jpg',
channel=None,
) / 255.
test_img_resized = cv2.resize(test_img, (16, 16))
# test_img_resized[:, :, 1] = 0
hpa_img_resized = cv2.resize(hpa_img, (16, 16))
# hpa_img_resized[:, :, 1] = 0
diff_img = test_img_resized - hpa_img_resized
img_list.append(
(test_img,
f"{row['test_id']} ({test_img.shape}, avg: {test_img.mean():.3f})"
))
img_list.append((
hpa_img,
f"{row['hpa_id']}\n({hpa_img.shape}, avg: {hpa_img.mean():.3f}, {row['trans']}, max_error: {row['max_error']:.3f})"
))
img_list.append((
diff_img / 2 + 0.5,
f"test - hpa (max: {diff_img.max():.3f}, min: {diff_img.min():.3f})"
))
display_imgs(img_list, dpi=50, n_cols=27, save_as='./tmp/comparison.jpg')
def hires_compare(
n_threads=70,
path_to_test_anno='./data/sample_submission.csv',
path_to_test_imgs='./data/test_full_size_compressed',
path_to_hpa_anno='./data/hpa_public_imgs.csv',
path_to_hpa_imgs='./data/hpa_public_imgs',
):
pairs_anno = pd.read_csv('./tmp/identical_pairs_bk.csv')
out_rows = []
task_list = [row.to_dict() for i_row, row in pairs_anno.iterrows()]
with Pool(n_threads) as p:
result_iter = p.imap_unordered(hires_compare_one, task_list)
for i_result, result in enumerate(result_iter):
info(
f"({i_result}/{len(task_list)}) {result['test_id']} - {result['hpa_id']}"
)
out_rows.append(result)
out_anno = pd.DataFrame.from_records(out_rows)
out_anno = out_anno.sort_values('relaive_max_error')
out_anno.to_csv('./tmp/identical_pairs.csv', index=False)
def load(self, filename):
gc.disable()
self.__init_vars()
dirname = os.path.dirname(filename)
self.path = dirname + "/" if dirname != "" else ""
self.path += "." + os.path.basename(filename) + ".db"
if os.path.exists(self.path):
info("open database %s" % self.path)
fd = open(self.path, "rb")
data = self.__check_old_json_db(fd)
if data is None:
data = fd.read()
if data.startswith(b"ZLIB"):
data = zlib.decompress(data[4:])
data = msgpack.unpackb(data, encoding="utf-8")
fd.close()
self.__load_meta(data)
self.__load_memory(data)
self.__load_symbols(data)
self.__load_jmptables(data)
self.__load_comments(data)
self.__load_functions(data)
self.__load_history(data)
self.__load_xrefs(data)
self.__load_imports(data)
if self.version <= 1.5:
self.__load_labels(data)
if self.version != VERSION:
warning("the database version is old, some information may be missing")
self.loaded = True
gc.enable()
def parse(var):
full = "".join(var)
full = full.replace("\n", "")
full = re.sub(" +", " ", full)
full = full.rstrip()
utils.info(full)
print len(full)
major = int(full[-17:-11].replace(" ", ""), 16)
minor = int(full[-11:-6].replace(" ", ""), 16)
temp = minor / 10.0
utils.info("Major: " + str(major))
utils.info("Minor: " + str(minor))
utils.send_to_cloud(1, minor, major) # 1 represents key for temperature in temp * 100 format
import argparse
me = singleton.SingleInstance() # will sys.exit(-1) if other instance is running
parser = argparse.ArgumentParser(description='Gets gps location data from local gpsd server and sends them to remote server.')
parser.add_argument('-s', '--send', action="store_true", help='Send to server, otherwise just test reading the sensors.')
parser.add_argument('-v', '--verbose', action="store_true", help='Print out more info.')
utils.args = parser.parse_args()
# Listen on port 2947 (gpsd) of localhost
session = gps.gps('localhost', 2947)
session.stream(gps.WATCH_ENABLE | gps.WATCH_NEWSTYLE)
utils.info("Starting gps poller")
while True:
try:
utils.info("Starting try...")
report = session.next()
utils.info(report);
if report['class'] == 'TPV':
utils.info(report)
if hasattr(report, 'time'):
error = 0.0
if hasattr(report, 'epx'):
error = (report.epx + report.epy) / 2.0
location = str(report.lat) + ',' + str(report.lon) + ',' + str(error)
utils.send_to_cloud("location", location)
time.sleep(60) # sleep 60 seconds after reporting location
import os
import sys
from lib import GlobalContext, AddrContext
from lib.utils import info, die
from lib.ui.vim import generate_vim_syntax
# Generates the file custom_colors.py at the beginning
import lib.colors
if __name__ == '__main__':
gctx = GlobalContext()
gctx.parse_args()
if gctx.color and lib.colors.VERSION < lib.colors.CURR_VERSION:
info("There is a new version of custom_colors.py. If you did any")
info("modifications you can delete it. Otherwise you can copy it")
info("somewhere, run again your command then merge the file at hand.")
die()
if gctx.interactive_mode:
from lib.ui.console import Console
i = Console(gctx)
elif gctx.filename is not None:
if not gctx.load_file():
die()
if gctx.list_sections:
for s in gctx.dis.binary.iter_sections():
s.print_header()
utils.args = parser.parse_args()
def parse(var):
full = "".join(var)
full = full.replace("\n", "")
full = re.sub(" +", " ", full)
full = full.rstrip()
utils.info(full)
print len(full)
major = int(full[-17:-11].replace(" ", ""), 16)
minor = int(full[-11:-6].replace(" ", ""), 16)
temp = minor / 10.0
utils.info("Major: " + str(major))
utils.info("Minor: " + str(minor))
utils.send_to_cloud(1, minor, major) # 1 represents key for temperature in temp * 100 format
repeat = 1
while repeat:
data = [0, 0, 0]
data[0] = sys.stdin.readline()
if data[0][0] == ">":
data[1] = sys.stdin.readline()
data[2] = sys.stdin.readline()
if len("".join(data)) == 144:
utils.info("Parsing data...")
parse(data)
def __init__(self, ctx):
self.ctx = ctx
ctx.vim = False
self.COMMANDS_ALPHA = [
"calls",
"da",
"db",
"dd",
"dw",
"dq",
"dump",
"exit",
"functions",
"help",
"info",
"jmptable",
"load",
"lrawarm",
"lrawmips",
"lrawmips64",
"lrawx86",
"lrawx64",
"mips_set_gp",
"py",
"save",
"sections",
"sym",
"x",
"v",
"display.print_section",
"display.print_comments",
]
self.COMMANDS = {
"help":
Command(0, self.__exec_help, None, ["", "Display this help"]),
"save":
Command(0, self.__exec_save, None, [
"",
"Save the database (only symbols and history currently).",
]),
"load":
Command(1, self.__exec_load, self.__complete_load, [
"filename",
"Load a new binary file.",
]),
"lrawx86":
Command(1, self.__exec_lrawx86, self.__complete_load, [
"filename",
"Load a x86 raw file.",
]),
"lrawx64":
Command(1, self.__exec_lrawx64, self.__complete_load, [
"filename",
"Load a x64 raw file.",
]),
"lrawarm":
Command(1, self.__exec_lrawarm, self.__complete_load, [
"filename",
"Load a ARM raw file.",
]),
"lrawmips":
Command(1, self.__exec_lrawmips, self.__complete_load, [
"filename",
"Load a MIPS raw file.",
]),
"lrawmips64":
Command(1, self.__exec_lrawmips64, self.__complete_load, [
"filename",
"Load a MIPS64 raw file.",
]),
"x":
Command(1, self.__exec_x, self.__complete_x, [
"[SYMBOL|0xXXXX|EP]",
"Decompile and print on stdout. By default it will be main.",
"The decompilation is forced, it dosn't check if addresses",
"are defined as code."
]),
"v":
Command(1, self.__exec_v, self.__complete_x, [
"[SYMBOL|0xXXXX|EP]",
"Visual mode",
"Shortcuts:",
"g top",
"G bottom",
"z set current line on the middle",
"q quit",
"; edit inline comment (enter/escape to validate/cancel)",
"% goto next bracket",
"* highlight current word (ctrl-k to clear)",
"tab switch between dump/decompilation",
"enter follow address",
"escape go back",
"u re-enter (for undo)",
]),
"da":
Command(2, self.__exec_data, self.__complete_x, [
"SYMBOL|0xXXXX|EP [NB_LINES]",
"Print data in ascii, it stops when the end of the section is found",
]),
"db":
Command(2, self.__exec_data, self.__complete_x, [
"SYMBOL|0xXXXX|EP [NB_LINES]",
"Print data in bytes, it stops when the end of the section is found",
]),
"dd":
Command(2, self.__exec_data, self.__complete_x, [
"SYMBOL|0xXXXX|EP [NB_LINES]",
"Print data in dwords, it stops when the end of the section is found",
]),
"dw":
Command(2, self.__exec_data, self.__complete_x, [
"SYMBOL|0xXXXX|EP [NB_LINES]",
"Print data in words, it stops when the end of the section is found",
]),
"dq":
Command(2, self.__exec_data, self.__complete_x, [
"SYMBOL|0xXXXX|EP [NB_LINES]",
"Print data in qwords, it stops when the end of the section is found",
]),
# by default it will be ctx.lines
"dump":
Command(2, self.__exec_dump, self.__complete_x, [
"SYMBOL|0xXXXX|EP [NB_LINES]",
"Disassemble only.",
]),
"set":
Command(3, None, None, ["", "Set options"]),
"sym":
Command(3, self.__exec_sym, self.__complete_x, [
"[SYMBOL 0xXXXX] [| FILTER]",
"Print all symbols or set a new symbol.",
"You can filter symbols by searching the word FILTER.",
"If FILTER starts with -, the match is inversed."
]),
"calls":
Command(1, self.__exec_calls, self.__complete_x, [
"[SECTION_NAME]",
"Print all calls which are in the given section"
]),
"exit":
Command(0, self.__exec_exit, None, ["", "Exit"]),
"sections":
Command(0, self.__exec_sections, None, [
"",
"Print all sections",
]),
"info":
Command(0, self.__exec_info, None,
["", "Information about the current binary"]),
"display.print_section":
Command(0, self.__exec_display_print_section, None,
["", "Print or not section when an address is found"]),
"display.print_comments":
Command(0, self.__exec_display_print_comments, None,
["", "Print or not comments"]),
"jmptable":
Command(4, self.__exec_jmptable, None, [
"INST_ADDR TABLE_ADDR NB_ENTRIES SIZE_ENTRY",
"Create a jump table referenced at TABLE_ADDR and called",
"from INST_ADDR."
]),
"py":
Command(0, self.__exec_py, None,
["", "Run an interactive python shell."]),
"mips_set_gp":
Command(1, self.__exec_mips_set_gp, None,
["ADDR", "Set the register $gp to a fixed value."]),
"functions":
Command(1, self.__exec_functions, None,
["", "Print the functions list."]),
}
self.analyzer = Analyzer()
self.analyzer.start()
info("analyzer is running in background...")
rl = ReadLine(self.exec_command, self.complete, self.send_control_c)
self.rl = rl
if ctx.filename is not None:
self.__exec_load(["", ctx.filename])
if ctx.entry is not None:
self.__exec_x(["", ctx.entry])
rl.reload_cursor_line()
while 1:
rl.loop()
if self.ctx.db is None or not self.ctx.db.modified:
break
print("the database was modified, run save or exit to force")
self.analyzer.msg.put("exit")
import os
import sys
from lib import GlobalContext, AddrContext
from lib.utils import info, die
from lib.ui.vim import generate_vim_syntax
# Generates the file custom_colors.py at the beginning
import lib.colors
if __name__ == '__main__':
gctx = GlobalContext()
gctx.parse_args()
if gctx.color and lib.colors.VERSION < lib.colors.CURR_VERSION:
info("There is a new version of custom_colors.py. If you did any")
info("modifications you can delete it. Otherwise you can copy it")
info("somewhere, run again your command then merge the file at hand.")
die()
if gctx.interactive_mode:
from lib.ui.console import Console
i = Console(gctx)
elif gctx.filename is not None:
if not gctx.load_file():
die()
if gctx.list_sections:
for s in gctx.dis.binary.iter_sections():
s.print_header()
import argparse
me = singleton.SingleInstance() # will sys.exit(-1) if other instance is running
parser = argparse.ArgumentParser(description='Outputs everything that comes via serial line.'
+ 'and writes into a log file in /tmp directory')
parser.add_argument('-v', '--verbose', action="store_true", help='Print out more info.')
utils.args = parser.parse_args()
serial_dev = '/dev/ttyACM0'
ser = serial.Serial(serial_dev, 9600)
utils.info(serial_dev + " initialized. Getting data...")
time.sleep(3)
filename = "env_" + str(time.time()) + ".log"
myFile = open('/tmp/' + filename, 'a')
print "Writing log into /tmp/" + filename
while True:
out = ser.readline().decode('utf-8')
m = re.match( r"[\w\%\.]+", out)
if not (hasattr(m, "group")):
continue
out = m.group(0)
if (len(out) >= 2):
val = out[:-1]
if out[-1] == "C":
def load_file(ctx):
if not os.path.exists(ctx.filename):
error("file {ctx.filename} doesn't exist".format(ctx=ctx))
if ctx.interactive:
return False
die()
if not os.path.isfile(ctx.filename):
error("this is not a file".format(ctx=ctx))
if ctx.interactive:
return False
die()
dirname = os.path.dirname(ctx.filename)
db_path = dirname + "/" if dirname != "" else ""
db_path += "." + os.path.basename(ctx.filename) + ".db"
db_exists = os.path.exists(db_path)
ctx.db_path = db_path
jmptables = {}
inline_comments = {}
previous_comments = {}
sym = {}
rev_sym = {}
mips_gp = -1
# Open the database
if db_exists:
info("open database %s" % db_path)
fd = open(db_path, "r")
db = json.loads(fd.read())
ctx.db = db
# Saved symbols
sym = db["symbols"]
for name, addr in db["symbols"].items():
rev_sym[addr] = name
try:
# Saved comments
for ad, comm in db["inline_comments"].items():
inline_comments[int(ad)] = comm
for ad, comm in db["previous_comments"].items():
previous_comments[int(ad)] = comm
# Saved jmptables
for j in db["jmptables"]:
jmptables[j["inst_addr"]] = \
Jmptable(j["inst_addr"], j["table_addr"], j["table"], j["name"])
except:
# Not available in previous versions, this try will be
# removed in the future
pass
try:
mips_gp = db["mips_gp"]
except:
# Not available in previous versions, this try will be
# removed in the future
pass
fd.close()
try:
dis = Disassembler(ctx.filename,
ctx.raw_type,
ctx.raw_base,
ctx.raw_big_endian,
sym,
rev_sym,
jmptables,
inline_comments,
previous_comments,
load_symbols=not db_exists,
mips_gp=mips_gp)
except ExcArch as e:
error("arch %s is not supported" % e.arch)
if ctx.interactive:
return False
die()
except ExcFileFormat:
error("the file is not PE or ELF binary")
if ctx.interactive:
return False
die()
except ExcPEFail as e:
error(str(e.e))
error(
"it seems that there is a random bug in pefile, you shoul retry.")
error("please report here https://github.com/joelpx/reverse/issues/16")
if ctx.interactive:
return False
die()
ctx.dis = dis
ctx.libarch = dis.load_arch_module()
return True
def __init__(self, ctx):
self.ctx = ctx
ctx.vim = False
self.COMMANDS_ALPHA = [
"calls",
"da",
"db",
"dd",
"dw",
"dq",
"dump",
"exit",
"functions",
"help",
"history",
"info",
"jmptable",
"load",
"lrawarm",
"lrawmips",
"lrawmips64",
"lrawx86",
"lrawx64",
"mips_set_gp",
"py",
"save",
"sections",
"sym",
"x",
"v",
"display.print_section",
"display.print_comments",
]
self.COMMANDS = {
"help": Command(
0,
self.__exec_help,
None,
[
"",
"Display this help"
]
),
"history": Command(
0,
self.__exec_history,
None,
[
"",
"Display the command history",
]
),
"save": Command(
0,
self.__exec_save,
None,
[
"",
"Save the database (only symbols and history currently).",
]
),
"load": Command(
1,
self.__exec_load,
self.__complete_load,
[
"filename",
"Load a new binary file.",
]
),
"lrawx86": Command(
1,
self.__exec_lrawx86,
self.__complete_load,
[
"filename",
"Load a x86 raw file.",
]
),
"lrawx64": Command(
1,
self.__exec_lrawx64,
self.__complete_load,
[
"filename",
"Load a x64 raw file.",
]
),
"lrawarm": Command(
1,
self.__exec_lrawarm,
self.__complete_load,
[
"filename",
"Load a ARM raw file.",
]
),
"lrawmips": Command(
1,
self.__exec_lrawmips,
self.__complete_load,
[
"filename",
"Load a MIPS raw file.",
]
),
"lrawmips64": Command(
1,
self.__exec_lrawmips64,
self.__complete_load,
[
"filename",
"Load a MIPS64 raw file.",
]
),
"x": Command(
1,
self.__exec_x,
self.__complete_x,
[
"[SYMBOL|0xXXXX|EP]",
"Decompile and print on stdout. By default it will be main.",
"The decompilation is forced, it dosn't check if addresses",
"are defined as code."
]
),
"v": Command(
1,
self.__exec_v,
self.__complete_x,
[
"[SYMBOL|0xXXXX|EP]",
"Visual mode",
"Shortcuts:",
"c create code",
"p create function",
"g top",
"G bottom",
"z set current line on the middle",
"q quit",
"; edit inline comment (enter/escape to validate/cancel)",
"% goto next bracket",
"* highlight current word (ctrl-k to clear)",
"{ } previous/next paragraph",
"tab switch between dump/decompilation",
"enter follow address",
"escape go back",
"u re-enter (for undo)",
]
),
"da": Command(
2,
self.__exec_data,
self.__complete_x,
[
"SYMBOL|0xXXXX|EP [NB_LINES]",
"Print data in ascii, it stops when the end of the section is found",
]
),
"db": Command(
2,
self.__exec_data,
self.__complete_x,
[
"SYMBOL|0xXXXX|EP [NB_LINES]",
"Print data in bytes, it stops when the end of the section is found",
]
),
"dd": Command(
2,
self.__exec_data,
self.__complete_x,
[
"SYMBOL|0xXXXX|EP [NB_LINES]",
"Print data in dwords, it stops when the end of the section is found",
]
),
"dw": Command(
2,
self.__exec_data,
self.__complete_x,
[
"SYMBOL|0xXXXX|EP [NB_LINES]",
"Print data in words, it stops when the end of the section is found",
]
),
"dq": Command(
2,
self.__exec_data,
self.__complete_x,
[
"SYMBOL|0xXXXX|EP [NB_LINES]",
"Print data in qwords, it stops when the end of the section is found",
]
),
# by default it will be ctx.lines
"dump": Command(
2,
self.__exec_dump,
self.__complete_x,
[
"SYMBOL|0xXXXX|EP [NB_LINES]",
"Disassemble only.",
]
),
"set": Command(
3,
None,
None,
[
"",
"Set options"
]
),
"sym": Command(
3,
self.__exec_sym,
self.__complete_x,
[
"[SYMBOL 0xXXXX] [| FILTER]",
"Print all symbols or set a new symbol.",
"You can filter symbols by searching the word FILTER.",
"If FILTER starts with -, the match is inversed."
]
),
"calls": Command(
1,
self.__exec_calls,
self.__complete_x,
[
"[SECTION_NAME]",
"Print all calls which are in the given section"
]
),
"exit": Command(
0,
self.__exec_exit,
None,
[
"",
"Exit"
]
),
"sections": Command(
0,
self.__exec_sections,
None,
[
"",
"Print all sections",
]
),
"info": Command(
0,
self.__exec_info,
None,
[
"",
"Information about the current binary"
]
),
"display.print_section": Command(
0,
self.__exec_display_print_section,
None,
[
"",
"Print or not section when an address is found"
]
),
"display.print_comments": Command(
0,
self.__exec_display_print_comments,
None,
[
"",
"Print or not comments"
]
),
"jmptable": Command(
4,
self.__exec_jmptable,
None,
[
"INST_ADDR TABLE_ADDR NB_ENTRIES SIZE_ENTRY",
"Create a jump table referenced at TABLE_ADDR and called",
"from INST_ADDR."
]
),
"py": Command(
0,
self.__exec_py,
None,
[
"",
"Run an interactive python shell."
]
),
"mips_set_gp": Command(
1,
self.__exec_mips_set_gp,
None,
[
"ADDR",
"Set the register $gp to a fixed value."
]
),
"functions": Command(
1,
self.__exec_functions,
None,
[
"",
"Print the function list."
]
),
}
self.analyzer = Analyzer()
self.analyzer.start()
info("analyzer is running in background...")
rl = ReadLine(self.exec_command, self.complete, self.send_control_c)
self.rl = rl
if ctx.filename is not None:
self.__exec_load(["", ctx.filename])
if ctx.entry is not None:
self.__exec_x(["", ctx.entry])
rl.reload_cursor_line()
while 1:
rl.loop()
if not self.check_db_modified():
break
self.analyzer.msg.put("exit")
me = singleton.SingleInstance() # will sys.exit(-1) if other instance is running
parser = argparse.ArgumentParser(description='Requests data from Arduino via serial interface and sends the data to remote server.')
parser.add_argument('-s', '--send', action="store_true", help='Send to server, otherwise just test reading the sensors.')
parser.add_argument('-v', '--verbose', action="store_true", help='Print out more info.')
utils.args = parser.parse_args()
#serial_dev = '/dev/ttyACM0'
#serial_dev = '/dev/tty.usbserial-A9007KLg'
serial_dev = '/dev/ttyAMA0'
ser = serial.Serial(serial_dev, 9600)
utils.info(serial_dev + " initialized. Getting data...")
time.sleep(3)
ser.write("2")
out = ser.readline()
light = 100.0 / 1023.0 * float(re.split(':|\\n', out)[2])
utils.info(light)
utils.send_to_cloud("light", light)
sleep = 12
ser.write("0")
time.sleep(sleep)
ser.write("1")
out = ser.readline()
count = re.split(':|\\n', out)[2]
freq = float(count) / float(sleep) / 2.0
def load_file(ctx):
if not os.path.exists(ctx.filename):
error("file {ctx.filename} doesn't exist".format(ctx=ctx))
if ctx.interactive:
return False
die()
if not os.path.isfile(ctx.filename):
error("this is not a file".format(ctx=ctx))
if ctx.interactive:
return False
die()
dirname = os.path.dirname(ctx.filename)
db_path = dirname + "/" if dirname != "" else ""
db_path += "." + os.path.basename(ctx.filename) + ".db"
db_exists = os.path.exists(db_path)
ctx.db_path = db_path
jmptables = {}
inline_comments = {}
previous_comments = {}
sym = {}
rev_sym = {}
mips_gp = -1
# Open the database
if db_exists:
info("open database %s" % db_path)
fd = open(db_path, "r")
db = json.loads(fd.read())
ctx.db = db
# Saved symbols
sym = db["symbols"]
for name, addr in db["symbols"].items():
rev_sym[addr] = name
try:
# Saved comments
for ad, comm in db["inline_comments"].items():
inline_comments[int(ad)] = comm
for ad, comm in db["previous_comments"].items():
previous_comments[int(ad)] = comm
# Saved jmptables
for j in db["jmptables"]:
jmptables[j["inst_addr"]] = \
Jmptable(j["inst_addr"], j["table_addr"], j["table"], j["name"])
except:
# Not available in previous versions, this try will be
# removed in the future
pass
try:
mips_gp = db["mips_gp"]
except:
# Not available in previous versions, this try will be
# removed in the future
pass
fd.close()
try:
dis = Disassembler(ctx.filename, ctx.raw_type,
ctx.raw_base, ctx.raw_big_endian,
sym, rev_sym,
jmptables, inline_comments,
previous_comments,
load_symbols=not db_exists,
mips_gp=mips_gp)
except ExcArch as e:
error("arch %s is not supported" % e.arch)
if ctx.interactive:
return False
die()
except ExcFileFormat:
error("the file is not PE or ELF binary")
if ctx.interactive:
return False
die()
except ExcPEFail as e:
error(str(e.e))
error("it seems that there is a random bug in pefile, you shoul retry.")
error("please report here https://github.com/joelpx/reverse/issues/16")
if ctx.interactive:
return False
die()
ctx.dis = dis
ctx.libarch = dis.load_arch_module()
return True
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
#
from lib import reverse, parse_args
from lib.utils import info, die
# Generates the file custom_colors.py at the beginning
import lib.colors
if __name__ == '__main__':
ctx = parse_args()
if ctx.color and lib.colors.VERSION < 1.3:
info("There is a new version of custom_colors.py. If it's wasn't")
info("modified you can delete it. Otherwise you can copy it")
info("somewhere, run again your command then merge the file at hand.")
die()
if ctx.interactive_mode:
from lib.ui.console import Console
i = Console(ctx)
elif ctx.filename is not None:
reverse(ctx)
def crop(config):
if config['output_windowed_imgs_path'] is not None:
makedirs(config['output_windowed_imgs_path'], exist_ok=True)
if type(config['set_n_windows']) is str:
set_n_windows_anno = pd.read_csv(config['set_n_windows'], index_col=0)
n_classes = 28
xs = []
for target_str in set_n_windows_anno['Target']:
targets = str_to_labels(target_str)
x = np.zeros(n_classes, dtype='int')
x[targets] = 1
xs.append(x)
xx = np.array(xs)
n_samples_per_class = np.sum(xx, axis=0)
cut_summary = pd.DataFrame(
{
'organelle': class_labels,
'n_samples': n_samples_per_class,
'n_windows':
np.round(1500 / n_samples_per_class).astype(int) + 1
},
index=range(n_classes),
)
print(cut_summary)
estimated_n_windows = np.sum(cut_summary['n_samples'].values *
cut_summary['n_windows'].values)
print(f'estimated_n_windows = {estimated_n_windows}')
def determine_n_windows_fn(id_):
if type(config['set_n_windows']) is str:
targets = str_to_labels(set_n_windows_anno.loc[id_, 'Target'])
n_windows = np.max(cut_summary.iloc[targets]['n_windows'].values)
return n_windows
else:
return config['set_n_windows']
anno = config['anno'].copy()
anno['n_windows'] = [determine_n_windows_fn(id_) for id_ in anno.index]
crop_task_list = [{
'id_': id_,
'row': row,
'config': config,
} for id_, row in anno.iterrows()]
with Pool(config['n_threads']) as p:
result_iter = p.imap_unordered(crop_one_id, crop_task_list)
result_list = []
for i_result, result in enumerate(result_iter):
info(
f"({i_result}/{len(crop_task_list)}) {result['id_']} -> ({len(result['df'])})"
)
result_list.append(result)
if config['output_windowed_imgs_path'] is not None:
windowed_anno = pd.concat([x['df'] for x in result_list])
print(windowed_anno)
if 'ERROR' in windowed_anno['left']:
warn(f'There were errors!')
windowed_anno.to_csv(config['output_windowed_anno_csv_path'])
def save_collage(field):
display_imgs([x[field] for x in result_list],
save_as=pjoin(config['collage_output_path'],
f"{config['run_tag']}-0-{field}.jpg"))
if config['collage_output_path'] is not None:
save_collage('blue_channel')
save_collage('thresholded_img')
save_collage('labeled_img')
save_collage('minimap')