class Set: def __init__(self,n=16): self.st = LinearProbeHT(n) def put(self,key): self.st.put(key,bool(True)) def contains(self,key): return self.st.contains(key) def size(self): return self.st.size() def isEmpty(self): return self.size > 0 def delete(self,key): self.st.delete(key) def show(self): self.st.show()
class SparseVector: def __init__(self): self.st = LinearProbeHT() def size(self): return self.st.size() def put(self, i, x): self.st.put(i, x) def get(self, i): if not self.st.contains(i): return 0.0 else: return self.st.get(i) def dot(self, that): assert isinstance(that, list) sm = 0.0 for x in self.st.keys(): sm += that[x] * self.get(x) return sm
def __init__(self): self.st = LinearProbeHT()
def __init__(self,n=16): self.st = LinearProbeHT(n)