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algorithms/dp/combination_sum.py at master · AbeyK/algorithms · GitHub
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combination_sum.py
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dp
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combination_sum.py
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"""
Given an integer array with all positive numbers and no duplicates,
find the number of possible combinations that
add up to a positive integer target.
Example:
nums = [1, 2, 3]
target = 4
The possible combination ways are:
(1, 1, 1, 1)
(1, 1, 2)
(1, 2, 1)
(1, 3)
(2, 1, 1)
(2, 2)
(3, 1)
Note that different sequences are counted as different combinations.
Therefore the output is 7.
Follow up:
What if negative numbers are allowed in the given array?
How does it change the problem?
What limitation we need to add to the question to allow negative numbers?
"""
dp
=
None
def
helper_topdown
(
nums
,
target
):
global
dp
if
dp
[
target
]
!=
-
1
:
return
dp
[
target
]
res
=
0
for
i
in
range
(
0
,
len
(
nums
)):
if
target
>=
nums
[
i
]:
res
+=
helper_topdown
(
nums
,
target
-
nums
[
i
])
dp
[
target
]
=
res
return
res
def
combination_sum_topdown
(
nums
,
target
):
global
dp
dp
=
[
-
1
]
*
(
target
+
1
)
dp
[
0
]
=
1
return
helper_topdown
(
nums
,
target
)
# EDIT: The above solution is top-down. How about a bottom-up one?
def
combination_sum_bottom_up
(
nums
,
target
):
comb
=
[
0
]
*
(
target
+
1
)
comb
[
0
]
=
1
for
i
in
range
(
0
,
len
(
comb
)):
for
j
in
range
(
len
(
nums
)):
if
i
-
nums
[
j
]
>=
0
:
comb
[
i
]
+=
comb
[
i
-
nums
[
j
]]
return
comb
[
target
]
combination_sum_topdown
([
1
,
2
,
3
],
4
)
print
dp
[
4
]
print
combination_sum_bottom_up
([
1
,
2
,
3
],
4
)
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