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maximum-profitable-triplets-with-increasing-prices-i.py
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maximum-profitable-triplets-with-increasing-prices-i.py
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# Time: O(nlogn)
# Space: O(n)
import itertools
from sortedcontainers import SortedList
# prefix sum, sorted list, binary search, mono stack
class Solution(object):
def maxProfit(self, prices, profits):
"""
:type prices: List[int]
:type profits: List[int]
:rtype: int
"""
NEG_INF = float("-inf")
def query(sl, k):
j = sl.bisect_left((k,))
return sl[j-1][1] if j-1 >= 0 else NEG_INF
def update(sl, k, v):
j = sl.bisect_left((k,))
if j < len(sl) and sl[j][0] == k:
if not (sl[j][1] < v):
return
del sl[j]
elif not (j-1 < 0 or sl[j-1][1] < v):
return
sl.add((k, v))
while j+1 < len(sl) and sl[j+1][1] <= sl[j][1]:
del sl[j+1]
result = NEG_INF
sl1, sl2 = SortedList(), SortedList()
for price, profit in itertools.izip(prices, profits):
result = max(result, query(sl2, price)+profit)
update(sl1, price, profit)
update(sl2, price, query(sl1, price)+profit)
return result if result != NEG_INF else -1
# Time: O(nlogn)
# Space: O(n)
from sortedcontainers import SortedList
# prefix sum, sorted list, binary search, mono stack
class Solution2(object):
def maxProfit(self, prices, profits):
"""
:type prices: List[int]
:type profits: List[int]
:rtype: int
"""
NEG_INF = float("-inf")
right = [NEG_INF]*len(prices)
sl = SortedList()
for i in reversed(xrange(len(prices))):
j = sl.bisect_left((-prices[i],))
if j-1 >= 0:
right[i] = sl[j-1][1]
if not (j-1 < 0 or sl[j-1][1] < profits[i]):
continue
sl.add((-prices[i], profits[i]))
j = sl.bisect_left((-prices[i], profits[i]))
while j+1 < len(sl) and sl[j+1][1] <= sl[j][1]:
del sl[j+1]
result = NEG_INF
sl = SortedList()
for i in xrange(len(prices)):
j = sl.bisect_left((prices[i],))
if j-1 >= 0:
result = max(result, sl[j-1][1]+profits[i]+right[i])
if not (j-1 < 0 or sl[j-1][1] < profits[i]):
continue
sl.add((prices[i], profits[i]))
j = sl.bisect_left((prices[i], profits[i]))
while j+1 < len(sl) and sl[j+1][1] <= sl[j][1]:
del sl[j+1]
return result if result != NEG_INF else -1
# Time: O(nlogn)
# Space: O(n)
import itertools
# prefix sum, bit, fenwick tree
class Solution3(object):
def maxProfit(self, prices, profits):
"""
:type prices: List[int]
:type profits: List[int]
:rtype: int
"""
NEG_INF = float("-inf")
class BIT(object): # 0-indexed.
def __init__(self, n, default=0, fn=lambda x, y: x+y):
self.__bit = [NEG_INF]*(n+1) # Extra one for dummy node.
self.__default = default
self.__fn = fn
def update(self, i, val):
i += 1 # Extra one for dummy node.
while i < len(self.__bit):
self.__bit[i] = self.__fn(self.__bit[i], val)
i += (i & -i)
def query(self, i):
i += 1 # Extra one for dummy node.
ret = self.__default
while i > 0:
ret = self.__fn(ret, self.__bit[i])
i -= (i & -i)
return ret
price_to_idx = {x:i for i, x in enumerate(sorted(set(prices)))}
result = NEG_INF
bit1, bit2 = BIT(len(price_to_idx), default=NEG_INF, fn=max), BIT(len(price_to_idx), default=NEG_INF, fn=max)
for price, profit in itertools.izip(prices, profits):
result = max(result, bit2.query(price_to_idx[price]-1)+profit)
bit1.update(price_to_idx[price], profit)
bit2.update(price_to_idx[price], bit1.query(price_to_idx[price]-1)+profit)
return result if result != NEG_INF else -1
# Time: O(nlogn)
# Space: O(n)
import itertools
# prefix sum, segment tree
class Solution4(object):
def maxProfit(self, prices, profits):
"""
:type prices: List[int]
:type profits: List[int]
:rtype: int
"""
NEG_INF = float("-inf")
# Range Maximum Query
class SegmentTree(object):
def __init__(self, N,
build_fn=lambda _: None,
query_fn=lambda x, y: max(x, y),
update_fn=lambda x, y: max(x, y)):
self.tree = [None]*(2*2**((N-1).bit_length()))
self.base = len(self.tree)//2
self.query_fn = query_fn
self.update_fn = update_fn
for i in xrange(self.base, self.base+N):
self.tree[i] = build_fn(i-self.base)
for i in reversed(xrange(1, self.base)):
self.tree[i] = query_fn(self.tree[2*i], self.tree[2*i+1])
def update(self, i, h):
x = self.base+i
self.tree[x] = self.update_fn(self.tree[x], h)
while x > 1:
x //= 2
self.tree[x] = self.query_fn(self.tree[x*2], self.tree[x*2+1])
def query(self, L, R):
if L > R:
return None
L += self.base
R += self.base
left = right = None
while L <= R:
if L & 1:
left = self.query_fn(left, self.tree[L])
L += 1
if R & 1 == 0:
right = self.query_fn(self.tree[R], right)
R -= 1
L //= 2
R //= 2
return self.query_fn(left, right)
price_to_idx = {x:i for i, x in enumerate(sorted(set(prices)))}
result = NEG_INF
st1, st2 = SegmentTree(len(price_to_idx)), SegmentTree(len(price_to_idx))
for price, profit in itertools.izip(prices, profits):
mx2 = st2.query(0, price_to_idx[price]-1)
if mx2 is not None:
result = max(result, mx2+profit)
st1.update(price_to_idx[price], profit)
mx1 = st1.query(0, price_to_idx[price]-1)
if mx1 is not None:
st2.update(price_to_idx[price], mx1+profit)
return result if result != NEG_INF else -1
# Time: O(nlogn)
# Space: O(n)
# prefix sum, segment tree
class Solution5(object):
def maxProfit(self, prices, profits):
"""
:type prices: List[int]
:type profits: List[int]
:rtype: int
"""
NEG_INF = float("-inf")
# Range Maximum Query
class SegmentTree(object):
def __init__(self, N,
build_fn=lambda _: None,
query_fn=lambda x, y: max(x, y),
update_fn=lambda x, y: max(x, y)):
self.tree = [None]*(2*2**((N-1).bit_length()))
self.base = len(self.tree)//2
self.query_fn = query_fn
self.update_fn = update_fn
for i in xrange(self.base, self.base+N):
self.tree[i] = build_fn(i-self.base)
for i in reversed(xrange(1, self.base)):
self.tree[i] = query_fn(self.tree[2*i], self.tree[2*i+1])
def update(self, i, h):
x = self.base+i
self.tree[x] = self.update_fn(self.tree[x], h)
while x > 1:
x //= 2
self.tree[x] = self.query_fn(self.tree[x*2], self.tree[x*2+1])
def query(self, L, R):
if L > R:
return None
L += self.base
R += self.base
left = right = None
while L <= R:
if L & 1:
left = self.query_fn(left, self.tree[L])
L += 1
if R & 1 == 0:
right = self.query_fn(self.tree[R], right)
R -= 1
L //= 2
R //= 2
return self.query_fn(left, right)
price_to_idx = {x:i for i, x in enumerate(sorted(set(prices)))}
right = [NEG_INF]*len(prices)
st = SegmentTree(len(price_to_idx))
for i in reversed(xrange(len(prices))):
right[i] = st.query(price_to_idx[prices[i]]+1, len(price_to_idx)-1)
st.update(price_to_idx[prices[i]], profits[i])
result = NEG_INF
st = SegmentTree(len(price_to_idx))
for i in xrange(len(prices)):
left = st.query(0, price_to_idx[prices[i]]-1)
if left is not None and right[i] is not None:
result = max(result, left+profits[i]+right[i])
st.update(price_to_idx[prices[i]], profits[i])
return result if result != NEG_INF else -1