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)
