{
 "signatures": [
  {
   "keyid": "8deb0bef1d99feb8b9a90fb192ef6d6141641e5c",
   "other_headers": "04000108001d1621048deb0bef1d99feb8b9a90fb192ef6d6141641e5c05026162ed76",
   "signature": "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"
  }
 ],
 "signed": {
  "_type": "link",
  "byproducts": {},
  "command": [],
  "environment": {},
  "materials": {},
  "name": "rebuild",
  "products": {
   "python3-matplotlib-venn_0.11.6-1_all.deb": {
    "sha256": "8998a222371895afaf87ae1abc3fd5c3ac76b0957a8847de3b05f3a9ab95ea22"
   }
  }
 }
}