Algorithmic Streetwear Turns Random Input Into Wearable Garment

16:9 PRIORITY = ["wearables of all kind" ]   # resolves overlapping branches    class StreetwearAlgorithm:      def __init__(self, INPUT):          a = analyze(INPUT)                       # texture, structure, shape  (H₂)          self.a = a          self.arch = self.resolve(a)              # H₁ deterministic          self.transfer = transfer_map(INPUT, self.arch)   # H₃        def resolve(self, a):          hits = [b for b in PRIORITY if matches(b, a)]          if not hits: raise Unclassifiable          if len(hits) > 1: return affinity_tiebreak(hits, a)      # overlap resolved deterministically          return hits[0] if hits[0]!="hoodie_vest" else hoodie_or_vest(a)   # sub‑rule        def render(self):          return product_shot( garment=self.arch, built_from=self.transfer,   # H₃                               branding=branding(INPUT),                     # H₄                               pedestal=floating, light=cinematic, res="8k" ) # H₅        def verify(self, img):          assert classify(self.a) == self.arch and single_archetype(img),   "H₁: ambiguous"          assert physics_match(img, self.a),                                "H₂: misread physics"          assert all(has_input_part(e) for e in garment_elements(img)),     "H₃: generic garment"          assert materials_authentic(img, INPUT) and branding_present(img), "H₃/H₄"          assert pedestal(img) and cinematic(img) and single_hero(img),     "H₅"    StreetwearAlgorithm(INPUT).render()