arcattackandClaude Fable 5
8ed6184d65
The recovered system: fire channels = LBE4ControlsManager buttonGroups (0x40/0x45/0x46/0x47); default groups = the per-mech type-6 controls-map resource in BTL4.RES, installed by the T0 CreateStreamedMappings the port already called -- it needed only the TriggerState attribute (id 0x13 PINNED to the binary value; fireImpulse@0x31C is the binary's TriggerState) and an input feed. Keyboard/harness now push press/release edges into the button groups; the gBT*Trigger bypasses, per-type keyboard split and 1,0 pulse hack are retired -- weapons sharing a button fire TOGETHER (madcat Trigger = 4 weapons). Myomers @4b9550/@4b95b8 misattribution corrected (they are MechWeapon ConfigureMappables/ChooseButton). Verified 2-node: kill through the authentic chain (12 hits vs ~36 pre-groups). Config-mode session (regrouping UI) = the remaining stage, KB-scoped. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
54 lines
2.5 KiB
Python
54 lines
2.5 KiB
Python
import struct, glob, os, numpy as np
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from collections import Counter
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def load(path):
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data=open(path,"rb").read()
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verts=[];faces=[];cb=[0]
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def addpoly(idx,b):
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for k in range(1,len(idx)-1): faces.append((b+idx[0],b+idx[k],b+idx[k+1]))
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def parse(p,end):
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while p+3<=end:
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tw=struct.unpack_from("<H",data,p)[0];p+=2
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cid=tw&0x2fff;lw=4 if(tw&0x8000)else(2 if(tw&0x4000)else 1)
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if p+lw>end:return
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ln=data[p] if lw==1 else(struct.unpack_from("<H",data,p)[0] if lw==2 else struct.unpack_from("<I",data,p)[0])
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p+=lw
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if p+ln>end:return
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if cid==0x88:
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cb[0]=len(verts)
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for i in range(ln//20):
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o=p+i*20;x,y,z=struct.unpack_from("<fff",data,o);verts.append((x,y,z))
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elif cid==0x47:
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n=ln//4;idx=[struct.unpack_from("<I",data,p+i*4)[0] for i in range(n)]
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for f in range(0,(n//3)*3,3): faces.append((cb[0]+idx[f],cb[0]+idx[f+1],cb[0]+idx[f+2]))
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elif cid==0x4d:
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if ln>=1:
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ppf=data[p];n=(ln-1)//4
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idx=[struct.unpack_from("<I",data,p+1+i*4)[0] for i in range(n)]
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for f in range(0,(n//ppf)*ppf,ppf): addpoly([idx[f+j] for j in range(ppf)],cb[0])
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if cid in {0x3,0x70,0x40,0x41,0x42,0x46,0x48,0x10,0x20,0x30}: parse(p,p+ln)
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p+=ln
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if cid==0x5:break
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parse(8,len(data))
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return np.array(verts),faces
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for path in sorted(glob.glob("content/VIDEO/GEO/*_COP.BGF")):
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V,faces=load(path)
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if len(V)==0: print(os.path.basename(path),'-- no verts parsed'); continue
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nv=len(V); faces=[(a,b,c) for (a,b,c) in faces if a<nv and b<nv and c<nv]
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# boundary edges
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ec=Counter()
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for a,b,c in faces:
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for edg in ((a,b),(b,c),(c,a)): ec[tuple(sorted(edg))]+=1
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bound=sum(1 for v in ec.values() if v==1)
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# normal dominant-axis area (weighted by face area)
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axarea={'+x':0.,'-x':0.,'+y':0.,'-y':0.,'+z':0.,'-z':0.}
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for a,b,c in faces:
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n=np.cross(V[b]-V[a],V[c]-V[a]); area=np.linalg.norm(n)
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if area<1e-9: continue
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nn=n/area; ax=int(np.argmax(np.abs(nn))); s='+' if nn[ax]>0 else '-'
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axarea[s+'xyz'[ax]]+=area
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tot=sum(axarea.values()) or 1
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dom=max(axarea,key=axarea.get)
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name=os.path.basename(path)
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frac={k:round(v/tot,2) for k,v in axarea.items()}
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print(f"{name:14s} verts={len(V):4d} faces={len(faces):4d} boundary={bound:4d} | area-by-axis {frac} | DOMINANT={dom}")
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