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maximize-subarray-sum-after-removing-all-occurrences-of-one-element.py
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# Time: O(n)
# Space: O(n)
import collections
# hash table, greedy, kadane's algorithm
class Solution(object):
def maxSubarraySum(self, nums):
"""
:type nums: List[int]
:rtype: int
"""
result = float("-inf")
curr = mn = mn0 = 0
mn1 = collections.defaultdict(int)
for x in nums:
curr += x
result = max(result, curr-mn)
mn1[x] = min(mn1[x], mn0)+x
mn0 = min(mn0, curr)
mn = min(mn, mn1[x], mn0)
return result
# Time: O(n)
# Space: O(n)
import collections
# hash table, greedy, kadane's algorithm
class Solution2(object):
def maxSubarraySum(self, nums):
"""
:type nums: List[int]
:rtype: int
"""
result = float("-inf")
curr = mn = mn0 = 0
mn1 = collections.defaultdict(int)
for x in nums:
curr += x
result = max(result, curr-mn)
if x < 0:
mn1[x] = min(mn1[x], mn0)+x
mn = min(mn, mn1[x])
mn0 = min(mn0, curr)
mn = min(mn, mn0)
return result
# Time: O(nlogn)
# Space: O(n)
import collections
# segment tree
class Solution_TLE(object):
def maxSubarraySum(self, nums):
"""
:type nums: List[int]
:rtype: int
"""
MAX, TOTAL, PREFIX, SUFFIX = range(4)
# Template:
# https://github.com/kamyu104/LeetCode-Solutions/blob/master/Python/block-placement-queries.py
class SegmentTree(object):
def __init__(self, N,
build_fn=lambda _: None,
query_fn=lambda x, y: y if x is None else x if y is None else max(x, y),
update_fn=lambda x: x):
self.tree = [None]*(1<<((N-1).bit_length()+1))
self.base = len(self.tree)>>1
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[i<<1], self.tree[(i<<1)+1])
def update(self, i, h):
x = self.base+i
self.tree[x] = self.update_fn(h)
while x > 1:
x >>= 1
self.tree[x] = self.query_fn(self.tree[x<<1], self.tree[(x<<1)+1])
def query(self, L, R):
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 >>= 1
R >>= 1
return self.query_fn(left, right)
def build(i):
return [nums[i]]*4
def query(x, y):
if x is None:
return y
if y is None:
return x
return [max(x[MAX], y[MAX], x[SUFFIX]+y[PREFIX]),
x[TOTAL]+y[TOTAL],
max(x[PREFIX], x[TOTAL]+y[PREFIX]),
max(y[SUFFIX], x[SUFFIX]+y[TOTAL])]
mx = max(nums)
if mx < 0:
return mx
mn = min(nums)
if mn >= 0:
return sum(nums)
groups = collections.defaultdict(list)
for i, x in enumerate(nums):
groups[x].append(i)
st = SegmentTree(len(nums), build_fn=build, query_fn=query)
result = st.tree[1][0] # st.query(0, len(nums)-1)[0]
for k, v in groups.iteritems():
for i in v:
st.update(i, None)
result = max(result, st.tree[1][0]) # st.query(0, len(nums)-1)[0]
for i in v:
st.update(i, [k]*4)
return result