mirror of https://github.com/zeldaret/botw.git
99 lines
4.0 KiB
Python
Executable File
99 lines
4.0 KiB
Python
Executable File
#!/usr/bin/env python3
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import argparse
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from collections import defaultdict
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from colorama import Back, Fore, Style
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import enum
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import utils
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from utils import FunctionStatus
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import typing as tp
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parser = argparse.ArgumentParser()
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parser.add_argument("--print-nm", "-n", action="store_true",
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help="Print non-matching functions with major issues")
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parser.add_argument("--print-eq", "-e", action="store_true",
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help="Print non-matching functions with minor issues")
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parser.add_argument("--print-ok", "-m", action="store_true",
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help="Print matching functions")
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args = parser.parse_args()
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class AIClassType(enum.Enum):
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Action = 0
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AI = 1
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Behavior = 2
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Query = 3
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code_size_total = 0
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num_total = 0
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code_size: tp.DefaultDict[FunctionStatus, int] = defaultdict(int)
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counts: tp.DefaultDict[FunctionStatus, int] = defaultdict(int)
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ai_counts: tp.DefaultDict[AIClassType, int] = defaultdict(int)
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ai_counts_done: tp.DefaultDict[AIClassType, int] = defaultdict(int)
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for info in utils.get_functions():
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code_size_total += info.size
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num_total += 1
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ai_class_type: tp.Optional[AIClassType] = None
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if info.name.startswith("AI_F_Action_"):
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ai_class_type = AIClassType.Action
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elif info.name.startswith("AI_F_AI_"):
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ai_class_type = AIClassType.AI
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elif info.name.startswith("AI_F_Behavior_"):
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ai_class_type = AIClassType.Behavior
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elif info.name.startswith("AI_F_Query_"):
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ai_class_type = AIClassType.Query
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if ai_class_type is not None:
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ai_counts[ai_class_type] += 1
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if info.decomp_name:
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ai_counts_done[ai_class_type] += 1
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if not info.decomp_name:
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continue
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counts[info.status] += 1
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code_size[info.status] += info.size
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if info.status == FunctionStatus.NonMatching:
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if args.print_nm:
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print(f"{Fore.RED}NM{Fore.RESET} {utils.format_symbol_name(info.decomp_name)}")
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elif info.status == FunctionStatus.Equivalent:
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if args.print_eq:
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print(f"{Fore.YELLOW}EQ{Fore.RESET} {utils.format_symbol_name(info.decomp_name)}")
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elif info.status == FunctionStatus.Matching:
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if args.print_ok:
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print(f"{Fore.GREEN}OK{Fore.RESET} {utils.format_symbol_name(info.decomp_name)}")
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elif info.status == FunctionStatus.Wip:
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print(f"{Back.RED}{Style.BRIGHT}{Fore.WHITE} WIP {Style.RESET_ALL} {utils.format_symbol_name(info.decomp_name)}{Style.RESET_ALL}")
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def format_progress(label: str, num: int, size: int):
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percentage = round(100 * num / num_total, 3)
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size_percentage = round(100 * size / code_size_total, 3)
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return f"{num:>7d} {label}{Fore.RESET} ({percentage}% | size: {size_percentage}%)"
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def format_progress_for_status(label: str, status: FunctionStatus):
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return format_progress(label, counts[status], code_size[status])
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def format_ai_progress(label: str, class_type: AIClassType):
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percentage = round(100 * ai_counts_done[class_type] / ai_counts[class_type], 3)
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return f"{ai_counts_done[class_type]:>7d} {label}{Fore.RESET} ({percentage}%)"
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print()
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print(f"{num_total:>7d} functions (size: ~{code_size_total} bytes)")
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count_decompiled = counts[FunctionStatus.Matching] + counts[FunctionStatus.Equivalent] + counts[FunctionStatus.NonMatching]
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code_size_decompiled = code_size[FunctionStatus.Matching] + code_size[FunctionStatus.Equivalent] + code_size[FunctionStatus.NonMatching]
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print(format_progress(f"{Fore.CYAN}decompiled", count_decompiled, code_size_decompiled))
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print(format_progress_for_status(f"{Fore.GREEN}matching", FunctionStatus.Matching))
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print(format_progress_for_status(f"{Fore.YELLOW}non-matching (minor issues)", FunctionStatus.Equivalent))
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print(format_progress_for_status(f"{Fore.RED}non-matching (major issues)", FunctionStatus.NonMatching))
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print()
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print(format_ai_progress("actions", AIClassType.Action))
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print(format_ai_progress("AIs", AIClassType.AI))
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print(format_ai_progress("behaviors", AIClassType.Behavior))
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print(format_ai_progress("queries", AIClassType.Query))
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