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Add tools/used_space.py to visualize the ROM based on the .map file
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Rangi
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1d122c86cf
commit
8eba39dd52
172
tools/mapreader.py
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172
tools/mapreader.py
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# -*- coding: utf-8 -*-
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# A library for parsing the pokecrystal.map file output by rgbds.
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import re
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class MapReader:
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# {'ROM Bank': { 0: { 'sections': [ { 'beg': 1234,
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# 'end': 5678,
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# 'name': 'Section001',
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# 'symbols': [ { 'symbol': 'Function1234',
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# 'address: 1234,
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# },
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# ]
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# },
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# ],
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# 'used': 1234,
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# 'slack': 4567,
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# },
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# },
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# 'OAM': { 'sections': [ { 'beg': 1234,
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# 'end': 5678,
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# 'name': 'Section002',
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# 'symbols': [ { 'symbol': 'Data1234',
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# 'address: 1234,
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# },
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# ]
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# },
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# ],
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# 'used': 1234,
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# 'slack': 4567,
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# },
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# }
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#
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bank_data = {}
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bank_types = {
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'HRAM' : { 'size': 0x80, 'banked': False, },
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'OAM' : { 'size': 0xA0, 'banked': False, },
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'ROM Bank' : { 'size': 0x4000, 'banked': True, },
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'SRAM Bank': { 'size': 0x2000, 'banked': True, },
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'VRAM Bank': { 'size': 0x1000, 'banked': True, },
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'WRAM Bank': { 'size': 0x2000, 'banked': True, },
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}
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# FSM states
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INIT, BANK, SECTION = range(3)
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# $506D-$519A ($012E bytes) ["Type Matchups"]
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section_header_regex = re.compile('\$([0-9A-Fa-f]{4})-\$([0-9A-Fa-f]{4}) \(.*\) \["(.*)"\]')
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# $506D = TypeMatchups
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section_data_regex = re.compile('\$([0-9A-Fa-f]{4}) = (.*)')
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# $3ED2 bytes
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slack_regex = re.compile('\$([0-9A-Fa-f]{4}) bytes')
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def __init__(self, *args, **kwargs):
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self.__dict__.update(kwargs)
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def _parse_init(self, line):
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line = line.split(':', 1)[0]
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parts = line.split(' #', 1)
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if (parts[0] in self.bank_types):
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self._cur_bank_name = parts[0]
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self._cur_bank_type = self.bank_types[self._cur_bank_name]
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if (self._cur_bank_type['banked'] and len(parts) > 1):
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parts[1] = parts[1].split(':', 1)[0]
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parts[1] = parts[1].split(' ', 1)[0]
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self._cur_bank = int(parts[1], 10)
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if self._cur_bank_name not in self.bank_data:
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self.bank_data[self._cur_bank_name] = {}
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if self._cur_bank_type['banked']:
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if self._cur_bank not in self.bank_data[self._cur_bank_name]:
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self.bank_data[self._cur_bank_name][self._cur_bank] = {}
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self._cur_data = self.bank_data[self._cur_bank_name][self._cur_bank]
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else:
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self._cur_data = self.bank_data[self._cur_bank_name]
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if ({} == self._cur_data):
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self._cur_data['sections'] = []
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self._cur_data['used'] = 0
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self._cur_data['slack'] = self._cur_bank_type['size']
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return True
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return False
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def _parse_section_header(self, header):
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section_data = self.section_header_regex.match(header)
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if section_data is not None:
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beg = int(section_data.group(1), 16)
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end = int(section_data.group(2), 16)
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name = section_data.group(3)
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self._cur_section = {'beg': beg, 'end': end, 'name': name, 'symbols': []}
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self._cur_data['sections'].append(self._cur_section)
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return True
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return False
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def _parse_slack(self, data):
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slack_data = self.slack_regex.match(data)
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slack_bytes = int(slack_data.group(1), 16)
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self._cur_data['slack'] = slack_bytes
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used_bytes = 0
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for s in self._cur_data['sections']:
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used_bytes += s['end'] - s['beg'] + 1
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self._cur_data['used'] = used_bytes
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def read_map_data(self, map):
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if type(map) is str:
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map = map.split('\n')
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self._state = MapReader.INIT
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self._cur_bank_name = ''
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self._cur_bank_type = {}
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self._cur_bank = 0
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self._cur_data = {}
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for line in map:
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line = line.rstrip()
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if (MapReader.INIT == self._state):
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if (self._parse_init(line)):
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self._state = MapReader.BANK
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elif (MapReader.BANK == self._state or MapReader.SECTION == self._state):
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if ('' == line):
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self._state = MapReader.INIT
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else:
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line = line.lstrip()
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parts = line.split(': ', 1)
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if (MapReader.SECTION == self._state):
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section_data = self.section_data_regex.match(parts[0])
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if section_data is not None:
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address = int(section_data.group(1), 16)
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name = section_data.group(2)
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self._cur_section['symbols'].append({'name': name, 'address': address})
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continue
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if ('SECTION' == parts[0]):
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if (self._parse_section_header(parts[1])):
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self._state = MapReader.SECTION
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elif ('SLACK' == parts[0]):
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self._parse_slack(parts[1])
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self._state = MapReader.INIT
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elif ('EMPTY' == parts[0]):
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self._cur_data = {'sections': [], 'used': 0, 'slack': self._cur_bank_type['size']}
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self._state = MapReader.INIT
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else:
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pass
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for k, v in self.bank_data.items():
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if (self.bank_types[k]['banked']):
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for _, vv in v.items():
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vv['sections'].sort(key=lambda x: x['beg'])
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for vvv in vv['sections']:
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vvv['symbols'].sort(key=lambda x: x['address'])
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else:
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v['sections'].sort(key=lambda x: x['beg'])
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for vv in v['sections']:
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vv['symbols'].sort(key=lambda x: x['address'])
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