def full_huff_search(tree):
loops = 0
to_test = deque(hs.group(tree))
#defective = 0
while to_test:
#print('in here')
loops+=1
current = to_test.popleft()
branch_sum = sum([t[0] for t in current])
if branch_sum != 0:
return loops
else:
l,r = hs.group(current)
to_test.extendleft([r])
to_test.extendleft([l])
return 0
def search_hufftree(tree):
defective = 0
l, r = hs.group(tree)
if any(l):
search_hufftree(l)
else:
search_hufftree(r)
return defective
def search_hufftree(items):
defective = 0
tree = hs.encode(items)
l, r = hs.group(tree)
return defective
# branch_sum = sum([t[0] for t in current_branch])
# if branch_sum !=0 :
# if(len(current_branch)==1):
# defective.append(current_branch)
# exit
# else:
# l,r = hs.group(current_branch)
# to_crawl.extendleft([r])
# to_crawl.extendleft([l])
# loops += 1
# return loops-len(to_crawl),defective
#items to search
n = 4
items = [0]*n
position = randint(0,n-1)
items[2] = 1
#probabilities
probs = [2**-(x+1) for x in range(0,n)] #[0.5, 0.25, 0.125, 0.125]# #np.random.dirichlet([1]*n)
non_iid_items = zip(items, probs)
#binary searching the items
defindex, bsloops = binary_search(items)
#huffman searching the items
t = hs.encode(non_iid_items)
hsloops = huffman_search(t)
