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3fc7eabe7b
Data is represented by treasures.
173 lines
6.2 KiB
Python
173 lines
6.2 KiB
Python
#!/usr/bin/env python3
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################################################################################
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# Description #
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################################################################################
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# calcprogress: Used to calculate the progress of the Pikmin 2 decomp. #
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# Prints to stdout for now, but eventually will have some form of storage, #
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# i.e. CSV, so that it can be used for a webpage display. #
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# #
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# Usage: No arguments needed #
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################################################################################
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###############################################
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# #
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# Imports #
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# #
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###############################################
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import os
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import sys
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import struct
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import re
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import math
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###############################################
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# #
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# Constants #
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# #
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###############################################
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DOL_PATH = "baserom.dol"
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MAP_PATH = "build/pikmin2.usa/pikmin2UP.MAP"
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MEM1_HI = 0x81200000
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MEM1_LO = 0x80004000
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MW_WII_SYMBOL_REGEX = r"^\s*"\
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r"(?P<SectOfs>\w{8})\s+"\
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r"(?P<Size>\w{6})\s+"\
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r"(?P<VirtOfs>\w{8})\s+"\
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r"(?P<FileOfs>\w{8})\s+"\
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r"(\w{1,2})\s+"\
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r"(?P<Symbol>[0-9A-Za-z_<>$@.*]*)\s*"\
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r"(?P<Object>\S*)"
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MW_GC_SYMBOL_REGEX = r"^\s*"\
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r"(?P<SectOfs>\w{8})\s+"\
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r"(?P<Size>\w{6})\s+"\
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r"(?P<VirtOfs>\w{8})\s+"\
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r"(\w{1,2})\s+"\
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r"(?P<Symbol>[0-9A-Za-z_<>$@.*]*)\s*"\
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r"(?P<Object>\S*)"
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REGEX_TO_USE = MW_GC_SYMBOL_REGEX
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TEXT_SECTIONS = ["init", "text"]
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DATA_SECTIONS = [
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"rodata", "data", "bss", "sdata", "sbss", "sdata2", "sbss2", "file",
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"ctors", "_ctors", "dtors", "ctors$99", "_ctors$99", "ctors$00", "dtors$99",
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"extab_", "extabindex_"
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]
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# DOL info
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TEXT_SECTION_COUNT = 7
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DATA_SECTION_COUNT = 11
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SECTION_TEXT = 0
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SECTION_DATA = 1
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###############################################
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# #
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# Entrypoint #
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# #
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###############################################
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if __name__ == "__main__":
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# Sum up DOL section sizes
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dol_handle = open(DOL_PATH, "rb")
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# Seek to virtual addresses
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dol_handle.seek(0x48)
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# Read virtual addresses
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text_starts = list()
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for i in range(TEXT_SECTION_COUNT):
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text_starts.append(int.from_bytes(dol_handle.read(4), byteorder='big'))
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data_starts = list()
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for i in range(DATA_SECTION_COUNT):
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data_starts.append(int.from_bytes(dol_handle.read(4), byteorder='big'))
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# Read lengths
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text_sizes = list()
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for i in range(TEXT_SECTION_COUNT):
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text_sizes.append(int.from_bytes(dol_handle.read(4), byteorder='big'))
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data_sizes = list()
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for i in range(DATA_SECTION_COUNT):
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data_sizes.append(int.from_bytes(dol_handle.read(4), byteorder='big'))
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# BSS address + length
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bss_start = int.from_bytes(dol_handle.read(4), byteorder='big')
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bss_size = int.from_bytes(dol_handle.read(4), byteorder='big')
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bss_end = bss_start + bss_size
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dol_code_size = 0
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dol_data_size = 0
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for i in range(DATA_SECTION_COUNT):
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# Ignore sections inside BSS
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if (data_starts[i] >= bss_start) and (data_starts[i] + data_sizes[i] <= bss_end): continue
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dol_data_size += data_sizes[i]
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dol_data_size += bss_size
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for i in text_sizes:
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dol_code_size += i
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# Open map file
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mapfile = open(MAP_PATH, "r")
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symbols = mapfile.readlines()
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decomp_code_size = 0
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decomp_data_size = 0
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section_type = None
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# Find first section
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first_section = 0
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while (symbols[first_section].startswith(".") == False and "section layout" not in symbols[first_section]): first_section += 1
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assert(first_section < len(symbols)), "Map file contains no sections!!!"
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for i in range(first_section, len(symbols)):
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# New section
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if (symbols[i].startswith(".") == True or "section layout" in symbols[i]):
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# Grab section name (i.e. ".init section layout" -> "init")
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sectionName = re.search(r"\.*(?P<Name>\w+)\s", symbols[i]).group("Name")
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# Determine type of section
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section_type = SECTION_DATA if (sectionName in DATA_SECTIONS) else SECTION_TEXT
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# Parse symbols until we hit the next section declaration
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else:
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if ("entry of" in symbols[i]) or ("UNUSED" in symbols[i]): continue
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assert(section_type != None), f"Symbol found outside of a section!!!\n{symbols[i]}"
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match_obj = re.search(REGEX_TO_USE, symbols[i])
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# Should be a symbol in ASM (so we discard it)
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if (match_obj == None): continue
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# Is the symbol a file-wide section?
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symb = match_obj.group("Symbol")
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if (symb.startswith("*fill*")) or (symb.startswith(".") and symb[1:] in TEXT_SECTIONS or symb[1:] in DATA_SECTIONS): continue
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# For sections that don't start with "."
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if (symb in DATA_SECTIONS): continue
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# If not, we accumulate the file size
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if (section_type == SECTION_TEXT):
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decomp_code_size += int(match_obj.group("Size"), 16)
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else:
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decomp_data_size += int(match_obj.group("Size"), 16)
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# Calculate percentages
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codeCompletionPcnt = (decomp_code_size / dol_code_size)
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dataCompletionPcnt = (decomp_data_size / dol_data_size)
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bytesPerPoko = dol_code_size / 10000
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bytesPerPart = dol_data_size / 201
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pokoCount = math.floor(decomp_code_size / bytesPerPoko)
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partCount = math.floor(decomp_code_size / bytesPerPart)
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print("Progress:")
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print(f"\tCode sections: {decomp_code_size} / {dol_code_size} bytes in src ({codeCompletionPcnt:%})")
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print(f"\tData sections: {decomp_data_size} / {dol_data_size} bytes in src ({dataCompletionPcnt:%})")
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print("\nYou have {} out of 10000 Pokos and collected {} out of 201 treasures.".format(pokoCount, partCount))
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