MagicBotandClaude Opus 5.5
0adbfe0d99
Add ResStream.read_long/write_long and use them for every CObjects field the client loads with ResStream_ReadInt32 (sb.exe 0x7E1700) as a value: rank info, attribute/skill/resource amounts, requirements, door/deed/container/key fields, natural attacks, hardpoints, sound event types and sparse VAL_LONG (LoadSaveBehavior<long>). Hash/enum fields, list counts and flag words keep unsigned reads. The binary is unchanged; JSON now shows e.g. -1 instead of 4294967295 (rank_hirelings, rank_rank) and -10 instead of 4294967286 (attr_adj). Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
109 lines
4.0 KiB
Python
109 lines
4.0 KiB
Python
# • ▌ ▄ ·. ▄▄▄▄· ▄▄▄ .·▄▄▄▄ ▪ ▄▄▄▄▄ ▄▄▄ ▄▄▄·▄▄▄
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# ·██ ▐███▪▐█ ▀█▪ ▀▄.▀·██▪ ██ ██ •██ ▪ ▀▄ █· ▐█ ▄█▀▄ █·▪
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# ▐█ ▌▐▌▐█·▐█▀▀█▄ ▐▀▀▪▄▐█· ▐█▌▐█· ▐█.▪ ▄█▀▄ ▐▀▀▄ ██▀·▐▀▀▄ ▄█▀▄
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# ██ ██▌▐█▌██▄▪▐█ ▐█▄▄▌██. ██ ▐█▌ ▐█▌·▐█▌.▐▌▐█•█▌ ▐█▪·•▐█•█▌▐█▌.▐▌
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# ▀▀ █▪▀▀▀·▀▀▀▀ ▀▀▀ ▀▀▀▀▀• ▀▀▀ ▀▀▀ ▀█▄▀▪.▀ ▀ .▀ .▀ ▀ ▀█▄▀▪
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# Magicbane Emulator Project © 2013 - 2022
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# www.magicbane.com
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from collections import OrderedDict
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from arcane.enums.arc_sparse import *
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from arcane.util import ResStream
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class SparseData:
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def __init__(self) -> None:
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self.sp_data = OrderedDict()
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def load_binary(self, stream: ResStream):
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sparse_tag = stream.read_dword()
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while sparse_tag:
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sparse_type = SPARSE_TAG_TO_SPARSE_TYPE[sparse_tag]
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value = None
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if sparse_type == SPARSE_VAL_LONG:
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value = stream.read_long()
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elif sparse_type == SPARSE_VAL_FLOAT:
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value = stream.read_float()
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elif sparse_type == SPARSE_VAL_BOOL:
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value = stream.read_bool()
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elif sparse_type == SPARSE_UID:
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value = stream.read_dword()
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elif sparse_type == SPARSE_REF_VECTOR3:
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value = stream.read_tuple()
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elif sparse_type == SPARSE_REF_ARC_STRING:
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value = stream.read_string()
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elif sparse_type == SPARSE_REF_MERCHANT_DATA:
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value = [
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stream.read_qword(),
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stream.read_qword(),
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stream.read_dword(),
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]
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elif sparse_type == SPARSE_REF_ARC_CACHE_ID:
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value = stream.read_qword()
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elif sparse_type == SPARSE_PTR_ACTION_RESPONSE:
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value = stream.read_dword()
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elif sparse_type == SPARSE_ENUM_ITEM_TYPE:
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value = stream.read_dword()
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self.sp_data[sparse_tag] = value
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sparse_tag = stream.read_dword()
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def save_binary(self, stream: ResStream):
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for tag, value in self.sp_data.items():
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stream.write_dword(tag)
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sparse_type = SPARSE_TAG_TO_SPARSE_TYPE[tag]
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if sparse_type == SPARSE_VAL_LONG:
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stream.write_long(value)
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elif sparse_type == SPARSE_VAL_FLOAT:
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stream.write_float(value)
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elif sparse_type == SPARSE_VAL_BOOL:
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stream.write_bool(value)
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elif sparse_type == SPARSE_UID:
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stream.write_dword(value)
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elif sparse_type == SPARSE_REF_VECTOR3:
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stream.write_tuple(value)
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elif sparse_type == SPARSE_REF_ARC_STRING:
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stream.write_string(value)
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elif sparse_type == SPARSE_REF_MERCHANT_DATA:
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stream.write_qword(value[0])
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stream.write_qword(value[1])
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stream.write_dword(value[2])
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elif sparse_type == SPARSE_REF_ARC_CACHE_ID:
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stream.write_qword(value)
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elif sparse_type == SPARSE_PTR_ACTION_RESPONSE:
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stream.write_dword(value)
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elif sparse_type == SPARSE_ENUM_ITEM_TYPE:
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stream.write_dword(value)
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stream.write_dword(0)
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def load_json(self, data):
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for key, value in data.items():
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self.sp_data[STRING_TO_SPARSE_TAG[key]] = value
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def save_json(self):
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data = OrderedDict()
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for tag, value in self.sp_data.items():
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data[SPARSE_TAG_TO_STRING[tag]] = value
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return data
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