def read(self, fp):
sections = []
matched = False
self.valid = True
metaData = defaultdict(list)
for (lineNumber, line) in enumerate(fp.readlines(), 1):
for formatType, format in self.formats:
if isinstance(line, bytes):
match = format.match(line.decode())
else:
match = format.match(line)
if match:
matched = True
container = Container()
container.lineNumber = lineNumber
dict_ = match.groupdict()
if dict_ != {}:
# Handle scalar values.
for key, value in dict_.items():
if key not in ('chunk', 'junk'):
setattr(container, key, atoi(value))
elif key == 'junk':
setattr(container, key, value)
if 'chunk' in dict_:
if self.parseData(container, formatType):
chunk = bytearray(
map(atoi, BYTES.findall(dict_['chunk'])))
else:
# don't convert/parse stuff like symbols.
chunk = dict_['chunk']
dict_.pop('chunk')
setattr(container, 'chunk', chunk)
self.checkLine(container, formatType)
# this is to handle esoteric stuff like Intel seg:offs addressing and symbols.
self.specialProcessing(container, formatType)
if self.isDataLine(container, formatType):
# print chunk
sections.append(
Section(container.address, container.chunk))
else:
chunk = container.chunk if hasattr(
container, 'chunk') else None
address = container.address if hasattr(
container, 'address') else None
metaData[formatType].append(
MetaRecord(formatType, address, chunk))
break
if not matched:
self.warn("Ignoring garbage line #{0:d}".format(lineNumber))
if sections:
return Image(joinSections(sections), metaData, self.valid)
else:
self.error("File seems to be invalid.")
return Image([], valid=False)
def read(self, fp):
if PYTHON_VERSION.major == 3:
lines = fp.read().decode()
else:
lines = fp.read()
self.sections = []
self.address = 0
breakRequest = False
for line in lines.splitlines():
for pattern, action in self.patterns:
match = pattern.match(line)
if match:
if not action(line, match):
breakRequest = True
break
if breakRequest:
break
return Image(joinSections(self.sections))
def joinSections(self, orderSegments=None):
self._sections = joinSections(self._sections, orderSegments)