refactor skn
This commit is contained in:
parent
55bb2e423b
commit
05f665e6ab
@ -70,3 +70,33 @@ def decompress(compressed_bytes, original_size: int):
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j += 1
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j += 1
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dec_bits += 1
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dec_bits += 1
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return res
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return res
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def read_int_and_print(n, b):
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a = read_int(b)
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print("%s=%s" % (n, a))
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return a
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def read_float_and_print(n, b):
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a = read_float(b)
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print("%s=%s" % (n, a))
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return a
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def read_byte_and_print(n, b):
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a = read_byte(b)
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print("%s=%s" % (n, a))
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return a
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def read_short_and_print(n, b):
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a = read_short(b)
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print("%s=%s" % (n, a))
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return a
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def read_string_until_none_and_print(n, b):
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s = read_string_until_none(b)
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print("%s=%s" % (n, s))
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return s
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267
lib/skn_anm.py
Normal file
267
lib/skn_anm.py
Normal file
@ -0,0 +1,267 @@
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from lib.fileutils import *
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from dataclasses import dataclass, field
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from typing import List, Union
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NAM_FlagHasHandles = (1 << 0)
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NAM_FlagCaseInsensitive = (1 << 1)
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ANM_NODE_FLAG_POS_ANIMATED = (1 << 0)
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ANM_NODE_FLAG_ROT_ANIMATED = (1 << 1)
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ANM_NODE_FLAG_ROL_ANIMATED = (1 << 2)
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ANM_NODE_FLAG_SCL_ANIMATED = (1 << 3)
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ANM_NODE_FLAG_AFF_ANIMATED = (1 << 4)
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ANM_NODE_FLAG_USR_ANIMATED = (1 << 5)
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ANM_NODE_FLAG_ANIMATED = ((1 << 6) - 1)
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@dataclass
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class Vec3Indexed:
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x: float
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y: float
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z: float
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index: int
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@classmethod
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def create(cls, b, offset=None):
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old = b.tell()
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if offset:
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b.seek(offset)
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x = read_float_and_print("Vec3->x", b)
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y = read_float_and_print("Vec3->y", b)
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z = read_float_and_print("Vec3->z", b)
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index = read_int_and_print("Vec3->index", b)
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if offset:
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b.seek(old)
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return cls(x=x, y=y, z=z, index=index)
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@dataclass
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class Vec3:
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x: float
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y: float
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z: float
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@classmethod
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def create(cls, b, offset=None):
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old = b.tell()
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if offset:
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b.seek(offset)
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x = read_float_and_print("Vec3->x", b)
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y = read_float_and_print("Vec3->y", b)
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z = read_float_and_print("Vec3->z", b)
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if offset:
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b.seek(old)
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return cls(x=x, y=y, z=z)
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@dataclass
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class AnmObj:
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custom: int
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skin: int = field(repr=False)
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zero_cluster: int
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total_number_vertices: int
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num_clusters: int
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clusters: List['AnmCluster']
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@classmethod
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def create(cls, b, offset=None):
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old = b.tell()
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if offset:
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b.seek(offset)
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custom = read_int_and_print("ANM_Obj->Custom", b)
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skin = read_int_and_print("ANM_Obj->Skin", b)
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zero = read_int_and_print("ANM_Obj->ZeroCluster", b)
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total_vertices = read_int_and_print("ANM_Obj->TotalNumberOfVertices", b)
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num_clusters = read_int_and_print("ANM_Obj->NumberOfClusters", b)
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clusters_offset = read_int_and_print("ANM_Obj->Clusters", b)
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clusters = []
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_old1 = b.tell()
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b.seek(clusters_offset)
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for _ in range(num_clusters):
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cluster = AnmCluster.create(b)
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clusters.append(cluster)
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b.seek(_old1)
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if offset:
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b.seek(old)
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r = cls(custom=custom, skin=skin, zero_cluster=zero, total_number_vertices=total_vertices, num_clusters=num_clusters, clusters=clusters)
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for cluster in clusters:
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cluster.obj = r
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return r
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@dataclass
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class AnmCluster:
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custom: int = field(repr=False)
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obj: Union[AnmObj, None]
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handle: int
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bounding_box: List[Vec3] = field(repr=False) # size 2
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num_vertices: int
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vertices: List[Vec3Indexed] = field(repr=False)
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bone_name: str = ""
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@classmethod
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def create(cls, b, offset=None):
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old = b.tell()
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if offset:
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b.seek(offset)
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custom = read_int_and_print("ANM_Cluster->Custom", b)
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obj_offset = read_int_and_print("ANM_Cluster->Obj", b)
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if obj_offset == 0: # ugly hack, dunno why we need that
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_ = read_int_and_print("ANM_Cluster->Custom", b)
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_ = read_int_and_print("ANM_Cluster->Obj", b)
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obj = None # is set by parent Obj
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handle = read_int_and_print("ANM_Cluster->Handle", b)
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bbox1 = Vec3.create(b)
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bbox2 = Vec3.create(b)
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bounding_box = [bbox1, bbox2]
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num_vertices = read_int_and_print("ANM_Cluster->num_vertices", b)
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vertices = []
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for _ in range(num_vertices):
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v = Vec3Indexed.create(b)
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vertices.append(v)
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if offset:
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b.seek(old)
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return cls(custom=custom, obj=obj, handle=handle, bounding_box=bounding_box, num_vertices=num_vertices, vertices=vertices)
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class NamDictionnary:
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@staticmethod
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def create(b, cls, depth=1, offset=None):
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r = {}
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old = b.tell()
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if offset:
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b.seek(offset)
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read_int_and_print("NAM_Dictionnary->pMemGroup", b)
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namemapper = read_int_and_print("NAM_Dictionnary->pNameMapper", b)
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flags = read_int_and_print("NAM_Dictionnary->Flags", b)
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print("Flags: NAM_FlagHasHandles: %s, NAM_FlagCaseInsensitive: %s" % (flags & NAM_FlagHasHandles, flags & NAM_FlagCaseInsensitive))
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read_short_and_print("NAM_Dictionnary->NameHandle", b)
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b.seek(namemapper)
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read_int_and_print("pMemGroup", b)
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read_int_and_print("MemBaseSize", b)
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read_int_and_print("MemBlocks", b)
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read_int_and_print("MemSize", b)
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read_int_and_print("MemFree", b)
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read_int_and_print("pMem", b)
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read_int_and_print("MaxMappings", b)
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totalmappings = read_int_and_print("TotalMappings", b)
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read_int_and_print("TotalKeys", b)
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p_key_contexts = read_int_and_print("pKeyContexts", b)
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print("MAP_Image->ANM_Skin->NAM_Dictionnary->MAP_Mapper->MAP_KeyContext")
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b.seek(p_key_contexts)
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print("\tMAP_Image->ANM_Skin->NAM_Dictionnary->MAP_Mapper->MAP_KeyContext->MAP_BinSearchContext")
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_ = read_int_and_print("\tSize", b)
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read_int_and_print("\tpCallback", b)
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read_int_and_print("\tIndex", b)
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read_int_and_print("\tTest", b)
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p_lut = read_int_and_print("pLUT", b)
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read_int_and_print("Reserve", b)
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read_int_and_print("pData", b)
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for i in range(totalmappings):
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b.seek(p_lut)
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pindx = read_int(b)
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for _ in range(i):
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pindx = read_int(b)
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print("LUT INDEX: %s" % pindx)
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b.seek(pindx)
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if not flags & NAM_FlagHasHandles:
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read_short_and_print("pPtr", b)
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read_short_and_print("pPtr2", b)
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val = read_int_and_print("Value", b)
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name = read_string_until_none_and_print("name", b)
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if depth > 1:
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item = NamDictionnary.create(b, cls, depth-1, val)
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else:
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item = cls.create(b, val)
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r[name] = item
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else:
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refcnt = read_short_and_print("RefCnt", b)
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handle = read_short_and_print("Handle", b)
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read_int_and_print("Test", b)
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read_int_and_print("Test", b)
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bone_name = read_string_until_none_and_print("BoneName", b)
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r[str(i)] = {"RefCnt": refcnt, "Handle": handle, "BoneName": bone_name}
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if offset:
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b.seek(old)
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return r
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@dataclass
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class AnmSkin:
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custom: int
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file_version: int
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image: int
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memgroup: int
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node_dictionnary: List[List]
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tree_dictionnary: List[List[AnmObj]]
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default_obj_dictionnary: List[AnmObj]
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total_number_trees: int
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total_number_objs: int
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total_number_clusters: int
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name: str
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@staticmethod
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def link(nodedict, defaultobjtree):
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for obj_name, obj in defaultobjtree.items():
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for cluster in obj.clusters:
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cluster_handle = cluster.handle
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k = str(cluster_handle - 1)
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cluster.bone_name = nodedict[k]["BoneName"]
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@classmethod
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def create(cls, b, offset=None):
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old = b.tell()
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if offset:
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b.seek(offset)
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custom = read_int_and_print("pCustom", b)
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version = read_int_and_print("FileVersion", b)
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image = read_int_and_print("pImage", b)
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memgroup = read_int_and_print("pMemGroup", b)
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node = read_int_and_print("pNodeDictionary", b)
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tree = read_int_and_print("pTreeDictionary", b)
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defaultobj = read_int_and_print("pDefaultObjDictionary", b)
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num_trees = read_int_and_print("TotalNumberOfTrees", b)
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num_objs = read_int_and_print("TotalNumberOfObjs", b)
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num_clusters = read_int_and_print("TotalNumberOfClusters", b)
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name = read_string_until_none_and_print("Name", b)
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nodedict = NamDictionnary.create(b, AnmObj, offset=node)
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treedict = NamDictionnary.create(b, AnmObj, depth=2, offset=tree)
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defaultobjdict = NamDictionnary.create(b, AnmObj, offset=defaultobj)
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AnmSkin.link(nodedict, defaultobjdict)
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r = cls(custom=custom, file_version=version, image=image, memgroup=memgroup, node_dictionnary=nodedict, tree_dictionnary=treedict, default_obj_dictionnary=defaultobjdict, total_number_trees=num_trees, total_number_objs=num_objs, total_number_clusters=num_clusters, name=name)
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if offset:
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b.seek(old)
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return r
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@dataclass
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class AnmFile:
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@staticmethod
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def parse(b, cls):
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_ = read_int_and_print("size", b)
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memgroupoffset = read_int_and_print("memgroupoffset", b)
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b.seek(memgroupoffset)
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read_int_and_print("\tNode", b)
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read_int_and_print("\tSize", b)
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read_int_and_print("\tFlags", b)
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read_int_and_print("pMemGroup", b)
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read_int_and_print("MemList", b)
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read_int_and_print("TotalSize", b)
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read_int_and_print("TotalBlocks", b)
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base = read_int_and_print("pBase", b)
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return cls.create(b, base)
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303
skn.py
303
skn.py
@ -1,301 +1,18 @@
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from lib.fileutils import *
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from lib.skn_anm import *
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from dataclasses import dataclass, field
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from typing import List, Union
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@dataclass
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def read_skn(filepath):
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class Vec3Indexed:
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with open(filepath, "rb") as fp:
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x: float
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r = AnmFile.parse(fp, AnmSkin)
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y: float
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print(r)
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z: float
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index: int
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@classmethod
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def create(cls, b, offset=None):
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old = b.tell()
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if offset:
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b.seek(offset)
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x = read_float_and_print("Vec3->x", b)
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y = read_float_and_print("Vec3->y", b)
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z = read_float_and_print("Vec3->z", b)
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index = read_int_and_print("Vec3->index", b)
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if offset:
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b.seek(old)
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return cls(x=x, y=y, z=z, index=index)
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@dataclass
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class Vec3:
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x: float
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y: float
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z: float
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@classmethod
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def create(cls, b, offset=None):
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old = b.tell()
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if offset:
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b.seek(offset)
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x = read_float_and_print("Vec3->x", b)
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y = read_float_and_print("Vec3->y", b)
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z = read_float_and_print("Vec3->z", b)
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if offset:
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b.seek(old)
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return cls(x=x, y=y, z=z)
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@dataclass
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class AnmObj:
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custom: int
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skin: int = field(repr=False)
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zero_cluster: int
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total_number_vertices: int
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num_clusters: int
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clusters: List['AnmCluster']
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@classmethod
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def create(cls, b, offset=None):
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old = b.tell()
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if offset:
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b.seek(offset)
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custom = read_int_and_print("ANM_Obj->Custom", b)
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skin = read_int_and_print("ANM_Obj->Skin", b)
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zero = read_int_and_print("ANM_Obj->ZeroCluster", b)
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|
||||||
total_vertices = read_int_and_print("ANM_Obj->TotalNumberOfVertices", b)
|
|
||||||
num_clusters = read_int_and_print("ANM_Obj->NumberOfClusters", b)
|
|
||||||
clusters_offset = read_int_and_print("ANM_Obj->Clusters", b)
|
|
||||||
clusters = []
|
|
||||||
_old1 = b.tell()
|
|
||||||
b.seek(clusters_offset)
|
|
||||||
for _ in range(num_clusters):
|
|
||||||
cluster = AnmCluster.create(b)
|
|
||||||
clusters.append(cluster)
|
|
||||||
|
|
||||||
b.seek(_old1)
|
|
||||||
if offset:
|
|
||||||
b.seek(old)
|
|
||||||
r = cls(custom=custom, skin=skin, zero_cluster=zero, total_number_vertices=total_vertices, num_clusters=num_clusters, clusters=clusters)
|
|
||||||
for cluster in clusters:
|
|
||||||
cluster.obj = r
|
|
||||||
return r
|
|
||||||
|
|
||||||
|
|
||||||
@dataclass
|
|
||||||
class AnmCluster:
|
|
||||||
custom: int = field(repr=False)
|
|
||||||
obj: Union[AnmObj, None]
|
|
||||||
handle: int
|
|
||||||
bounding_box: List[Vec3] = field(repr=False) # size 2
|
|
||||||
num_vertices: int
|
|
||||||
vertices: List[Vec3Indexed] = field(repr=False)
|
|
||||||
bone_name: str = ""
|
|
||||||
|
|
||||||
@classmethod
|
|
||||||
def create(cls, b, offset=None):
|
|
||||||
old = b.tell()
|
|
||||||
if offset:
|
|
||||||
b.seek(offset)
|
|
||||||
custom = read_int_and_print("ANM_Cluster->Custom", b)
|
|
||||||
obj_offset = read_int_and_print("ANM_Cluster->Obj", b)
|
|
||||||
if obj_offset == 0: # ugly hack, dunno why we need that
|
|
||||||
_ = read_int_and_print("ANM_Cluster->Custom", b)
|
|
||||||
_ = read_int_and_print("ANM_Cluster->Obj", b)
|
|
||||||
obj = None # is set by parent Obj
|
|
||||||
handle = read_int_and_print("ANM_Cluster->Handle", b)
|
|
||||||
bbox1 = Vec3.create(b)
|
|
||||||
bbox2 = Vec3.create(b)
|
|
||||||
bounding_box = [bbox1, bbox2]
|
|
||||||
num_vertices = read_int_and_print("ANM_Cluster->num_vertices", b)
|
|
||||||
vertices = []
|
|
||||||
for _ in range(num_vertices):
|
|
||||||
v = Vec3Indexed.create(b)
|
|
||||||
vertices.append(v)
|
|
||||||
|
|
||||||
if offset:
|
|
||||||
b.seek(old)
|
|
||||||
return cls(custom=custom, obj=obj, handle=handle, bounding_box=bounding_box, num_vertices=num_vertices, vertices=vertices)
|
|
||||||
|
|
||||||
|
|
||||||
class NamDictionnary:
|
|
||||||
@staticmethod
|
|
||||||
def create(b, cls, depth=1, offset=None):
|
|
||||||
r = {}
|
|
||||||
|
|
||||||
old = b.tell()
|
|
||||||
if offset:
|
|
||||||
b.seek(offset)
|
|
||||||
|
|
||||||
read_int_and_print("NAM_Dictionnary->pMemGroup", b)
|
|
||||||
namemapper = read_int_and_print("NAM_Dictionnary->pNameMapper", b)
|
|
||||||
flags = read_int_and_print("NAM_Dictionnary->Flags", b)
|
|
||||||
print("Flags: NAM_FlagHasHandles: %s, NAM_FlagCaseInsensitive: %s" % (flags & NAM_FlagHasHandles, flags & NAM_FlagCaseInsensitive))
|
|
||||||
read_short_and_print("NAM_Dictionnary->NameHandle", b)
|
|
||||||
|
|
||||||
b.seek(namemapper)
|
|
||||||
read_int_and_print("pMemGroup", b)
|
|
||||||
read_int_and_print("MemBaseSize", b)
|
|
||||||
read_int_and_print("MemBlocks", b)
|
|
||||||
read_int_and_print("MemSize", b)
|
|
||||||
read_int_and_print("MemFree", b)
|
|
||||||
read_int_and_print("pMem", b)
|
|
||||||
read_int_and_print("MaxMappings", b)
|
|
||||||
totalmappings = read_int_and_print("TotalMappings", b)
|
|
||||||
read_int_and_print("TotalKeys", b)
|
|
||||||
p_key_contexts = read_int_and_print("pKeyContexts", b)
|
|
||||||
|
|
||||||
print("MAP_Image->ANM_Skin->NAM_Dictionnary->MAP_Mapper->MAP_KeyContext")
|
|
||||||
b.seek(p_key_contexts)
|
|
||||||
print("\tMAP_Image->ANM_Skin->NAM_Dictionnary->MAP_Mapper->MAP_KeyContext->MAP_BinSearchContext")
|
|
||||||
_ = read_int_and_print("\tSize", b)
|
|
||||||
read_int_and_print("\tpCallback", b)
|
|
||||||
read_int_and_print("\tIndex", b)
|
|
||||||
read_int_and_print("\tTest", b)
|
|
||||||
p_lut = read_int_and_print("pLUT", b)
|
|
||||||
read_int_and_print("Reserve", b)
|
|
||||||
read_int_and_print("pData", b)
|
|
||||||
|
|
||||||
for i in range(totalmappings):
|
|
||||||
b.seek(p_lut)
|
|
||||||
pindx = read_int(b)
|
|
||||||
for _ in range(i):
|
|
||||||
pindx = read_int(b)
|
|
||||||
print("LUT INDEX: %s" % pindx)
|
|
||||||
b.seek(pindx)
|
|
||||||
if not flags & NAM_FlagHasHandles:
|
|
||||||
read_short_and_print("pPtr", b)
|
|
||||||
read_short_and_print("pPtr2", b)
|
|
||||||
val = read_int_and_print("Value", b)
|
|
||||||
name = read_string_until_none_and_print("name", b)
|
|
||||||
if depth > 1:
|
|
||||||
item = NamDictionnary.create(b, cls, depth-1, val)
|
|
||||||
else:
|
|
||||||
item = cls.create(b, val)
|
|
||||||
r[name] = item
|
|
||||||
else:
|
|
||||||
refcnt = read_short_and_print("RefCnt", b)
|
|
||||||
handle = read_short_and_print("Handle", b)
|
|
||||||
read_int_and_print("Test", b)
|
|
||||||
read_int_and_print("Test", b)
|
|
||||||
bone_name = read_string_until_none_and_print("BoneName", b)
|
|
||||||
r[str(i)] = {"RefCnt": refcnt, "Handle": handle, "BoneName": bone_name}
|
|
||||||
|
|
||||||
if offset:
|
|
||||||
b.seek(old)
|
|
||||||
|
|
||||||
return r
|
|
||||||
|
|
||||||
|
|
||||||
NAM_FlagHasHandles = (1 << 0)
|
|
||||||
NAM_FlagCaseInsensitive = (1 << 1)
|
|
||||||
|
|
||||||
|
|
||||||
def read_int_and_print(n, b):
|
|
||||||
a = read_int(b)
|
|
||||||
print("%s=%s" % (n, a))
|
|
||||||
return a
|
|
||||||
|
|
||||||
|
|
||||||
def read_float_and_print(n, b):
|
|
||||||
a = read_float(b)
|
|
||||||
print("%s=%s" % (n, a))
|
|
||||||
return a
|
|
||||||
|
|
||||||
|
|
||||||
def read_byte_and_print(n, b):
|
|
||||||
a = read_byte(b)
|
|
||||||
print("%s=%s" % (n, a))
|
|
||||||
return a
|
|
||||||
|
|
||||||
|
|
||||||
def read_short_and_print(n, b):
|
|
||||||
a = read_short(b)
|
|
||||||
print("%s=%s" % (n, a))
|
|
||||||
return a
|
|
||||||
|
|
||||||
|
|
||||||
def read_string_until_none_and_print(n, b):
|
|
||||||
s = read_string_until_none(b)
|
|
||||||
print("%s=%s" % (n, s))
|
|
||||||
return s
|
|
||||||
|
|
||||||
|
|
||||||
def link(nodedict, defaultobjtree):
|
|
||||||
for obj_name, obj in defaultobjtree.items():
|
|
||||||
for cluster in obj.clusters:
|
|
||||||
cluster_handle = cluster.handle
|
|
||||||
k = str(cluster_handle-1)
|
|
||||||
cluster.bone_name = nodedict[k]["BoneName"]
|
|
||||||
|
|
||||||
|
|
||||||
class AnmSkin:
|
|
||||||
def __init__(self):
|
|
||||||
self.custom = 0
|
|
||||||
self.file_version = 0
|
|
||||||
self.image = 0
|
|
||||||
self.memgroup = 0
|
|
||||||
self.node_dictionary = 0
|
|
||||||
self.tree_dictionary = 0
|
|
||||||
self.default_obj_dictionnary = 0
|
|
||||||
self.total_number_trees = 0
|
|
||||||
self.total_number_objs = 0
|
|
||||||
self.total_number_clusters = 0
|
|
||||||
self.name = 0
|
|
||||||
|
|
||||||
@classmethod
|
|
||||||
def parse(cls, b):
|
|
||||||
_ = read_int_and_print("size", b)
|
|
||||||
memgroupoffset = read_int_and_print("memgroupoffset", b)
|
|
||||||
|
|
||||||
b.seek(memgroupoffset)
|
|
||||||
|
|
||||||
print("MAP_MemGroup")
|
|
||||||
print("\tMAP_Mem")
|
|
||||||
read_int_and_print("\tNode", b)
|
|
||||||
read_int_and_print("\tSize", b)
|
|
||||||
read_int_and_print("\tFlags", b)
|
|
||||||
|
|
||||||
read_int_and_print("pMemGroup", b)
|
|
||||||
read_int_and_print("MemList", b)
|
|
||||||
read_int_and_print("TotalSize", b)
|
|
||||||
read_int_and_print("TotalBlocks", b)
|
|
||||||
base = read_int_and_print("pBase", b)
|
|
||||||
|
|
||||||
b.seek(base)
|
|
||||||
print("=========")
|
|
||||||
print("ANM_Skin")
|
|
||||||
read_int_and_print("pCustom", b)
|
|
||||||
read_int_and_print("FileVersion", b)
|
|
||||||
read_int_and_print("pImage", b)
|
|
||||||
read_int_and_print("pMemGroup", b)
|
|
||||||
node = read_int_and_print("pNodeDictionary", b)
|
|
||||||
tree = read_int_and_print("pTreeDictionary", b)
|
|
||||||
defaultobj = read_int_and_print("pDefaultObjDictionary", b)
|
|
||||||
read_int_and_print("TotalNumberOfTrees", b)
|
|
||||||
read_int_and_print("TotalNumberOfObjs", b)
|
|
||||||
read_int_and_print("TotalNumberOfClusters", b)
|
|
||||||
read_string_until_none_and_print("Name", b)
|
|
||||||
print("=========")
|
|
||||||
|
|
||||||
nodedict = NamDictionnary.create(b, AnmObj, offset=node)
|
|
||||||
treedict = NamDictionnary.create(b, AnmObj, depth=2, offset=tree)
|
|
||||||
defaultobjdict = NamDictionnary.create(b, AnmObj, offset=defaultobj)
|
|
||||||
|
|
||||||
link(nodedict, defaultobjdict)
|
|
||||||
|
|
||||||
print("nodedict_len:%s" % len(nodedict))
|
|
||||||
print("treedict_len:%s" % len(treedict))
|
|
||||||
print(defaultobjdict)
|
|
||||||
print("defaultobjtreedict_len:%s" % len(defaultobjdict))
|
|
||||||
|
|
||||||
|
|
||||||
def main():
|
def main():
|
||||||
with open("/home/tasty/Projects/gck-map-extract-objects/anm_skn/mc_l0.skn", "rb") as fp:
|
f = ["/home/tasty/Projects/gck-map-extract-objects/anm_skn/mc_l0.skn",
|
||||||
AnmSkin.parse(fp)
|
"/home/tasty/Projects/gck-map-extract-objects/anm_skn/rp_l0.skn",
|
||||||
|
"/home/tasty/Projects/gck-map-extract-objects/anm_skn/kb_l0.skn"]
|
||||||
with open("/home/tasty/Projects/gck-map-extract-objects/anm_skn/rp_l0.skn", "rb") as fp:
|
for p in f:
|
||||||
AnmSkin.parse(fp)
|
read_skn(p)
|
||||||
|
|
||||||
with open("/home/tasty/Projects/gck-map-extract-objects/anm_skn/kb_l0.skn", "rb") as fp:
|
|
||||||
AnmSkin.parse(fp)
|
|
||||||
|
|
||||||
|
|
||||||
if __name__ == "__main__":
|
if __name__ == "__main__":
|
||||||
|
Loading…
Reference in New Issue
Block a user