ref: d626a0dc3b0ba5d3c4f9984321a5a26941e8ec61
dir: /tools/mapreader.py/
# -*- coding: utf-8 -*-
# A library for parsing the pokecrystal.map file output by rgbds.
import re
class MapReader:
# {'ROM Bank': { 0: { 'sections': [ { 'beg': 1234,
# 'end': 5678,
# 'name': 'Section001',
# 'symbols': [ { 'symbol': 'Function1234',
# 'address: 1234,
# },
# ]
# },
# ],
# 'used': 1234,
# 'slack': 4567,
# },
# },
# 'OAM': { 'sections': [ { 'beg': 1234,
# 'end': 5678,
# 'name': 'Section002',
# 'symbols': [ { 'symbol': 'Data1234',
# 'address: 1234,
# },
# ]
# },
# ],
# 'used': 1234,
# 'slack': 4567,
# },
# }
#
bank_data = {}
bank_types = {
'HRAM' : { 'size': 0x80, 'banked': False, },
'OAM' : { 'size': 0xA0, 'banked': False, },
'ROM0 bank': { 'size': 0x4000, 'banked': True, },
'ROMX bank': { 'size': 0x4000, 'banked': True, },
'SRAM bank': { 'size': 0x2000, 'banked': True, },
'VRAM bank': { 'size': 0x1000, 'banked': True, },
'WRAM bank': { 'size': 0x2000, 'banked': True, },
}
# FSM states
INIT, BANK, SECTION = range(3)
# $506D-$519A ($012E bytes) ["Type Matchups"]
section_header_regex = re.compile('\$([0-9A-Fa-f]{4})-\$([0-9A-Fa-f]{4}) \(.*\) \["(.*)"\]')
# $506D = TypeMatchups
section_data_regex = re.compile('\$([0-9A-Fa-f]{4}) = (.*)')
# $3ED2 bytes
slack_regex = re.compile('\$([0-9A-Fa-f]{4}) bytes?')
def __init__(self, *args, **kwargs):
self.__dict__.update(kwargs)
def _parse_init(self, line):
line = line.split(':', 1)[0]
parts = line.split(' #', 1)
if (parts[0] in self.bank_types):
self._cur_bank_name = parts[0]
self._cur_bank_type = self.bank_types[self._cur_bank_name]
if (self._cur_bank_type['banked'] and len(parts) > 1):
parts[1] = parts[1].split(':', 1)[0]
parts[1] = parts[1].split(' ', 1)[0]
self._cur_bank = int(parts[1], 10)
if self._cur_bank_name not in self.bank_data:
self.bank_data[self._cur_bank_name] = {}
if self._cur_bank_type['banked']:
if self._cur_bank not in self.bank_data[self._cur_bank_name]:
self.bank_data[self._cur_bank_name][self._cur_bank] = {}
self._cur_data = self.bank_data[self._cur_bank_name][self._cur_bank]
else:
self._cur_data = self.bank_data[self._cur_bank_name]
if ({} == self._cur_data):
self._cur_data['sections'] = []
self._cur_data['used'] = 0
self._cur_data['slack'] = self._cur_bank_type['size']
return True
return False
def _parse_section_header(self, header):
section_data = self.section_header_regex.match(header)
if section_data is not None:
beg = int(section_data.group(1), 16)
end = int(section_data.group(2), 16)
name = section_data.group(3)
self._cur_section = {'beg': beg, 'end': end, 'name': name, 'symbols': []}
self._cur_data['sections'].append(self._cur_section)
return True
return False
def _parse_slack(self, data):
slack_data = self.slack_regex.match(data)
slack_bytes = int(slack_data.group(1), 16)
self._cur_data['slack'] = slack_bytes
used_bytes = 0
for s in self._cur_data['sections']:
used_bytes += s['end'] - s['beg'] + 1
self._cur_data['used'] = used_bytes
def read_map_data(self, map):
if type(map) is str:
map = map.split('\n')
self._state = MapReader.INIT
self._cur_bank_name = ''
self._cur_bank_type = {}
self._cur_bank = 0
self._cur_data = {}
for line in map:
line = line.rstrip()
if (MapReader.INIT == self._state):
if (self._parse_init(line)):
self._state = MapReader.BANK
elif (MapReader.BANK == self._state or MapReader.SECTION == self._state):
if ('' == line):
self._state = MapReader.INIT
else:
line = line.lstrip()
parts = line.split(': ', 1)
if (MapReader.SECTION == self._state):
section_data = self.section_data_regex.match(parts[0])
if section_data is not None:
address = int(section_data.group(1), 16)
name = section_data.group(2)
self._cur_section['symbols'].append({'name': name, 'address': address})
continue
if ('SECTION' == parts[0]):
if (self._parse_section_header(parts[1])):
self._state = MapReader.SECTION
elif ('SLACK' == parts[0]):
self._parse_slack(parts[1])
self._state = MapReader.INIT
elif ('EMPTY' == parts[0]):
self._cur_data = {'sections': [], 'used': 0, 'slack': self._cur_bank_type['size']}
self._state = MapReader.INIT
else:
pass
for k, v in self.bank_data.items():
if (self.bank_types[k]['banked']):
for _, vv in v.items():
vv['sections'].sort(key=lambda x: x['beg'])
for vvv in vv['sections']:
vvv['symbols'].sort(key=lambda x: x['address'])
else:
v['sections'].sort(key=lambda x: x['beg'])
for vv in v['sections']:
vv['symbols'].sort(key=lambda x: x['address'])